Overview

Dataset statistics

Number of variables22
Number of observations44691
Missing cells168936
Missing cells (%)17.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 MiB
Average record size in memory176.0 B

Variable types

Numeric9
Text12
DateTime1

Alerts

budget_musd is highly overall correlated with revenue_musd and 2 other fieldsHigh correlation
revenue_musd is highly overall correlated with budget_musd and 2 other fieldsHigh correlation
vote_count is highly overall correlated with budget_musd and 2 other fieldsHigh correlation
popularity is highly overall correlated with budget_musd and 2 other fieldsHigh correlation
cast_size is highly overall correlated with crew_sizeHigh correlation
crew_size is highly overall correlated with cast_sizeHigh correlation
tagline has 24407 (54.6%) missing valuesMissing
genres has 2105 (4.7%) missing valuesMissing
belongs_to_collection has 40228 (90.0%) missing valuesMissing
budget_musd has 35837 (80.2%) missing valuesMissing
revenue_musd has 37306 (83.5%) missing valuesMissing
production_companies has 11335 (25.4%) missing valuesMissing
production_countries has 5856 (13.1%) missing valuesMissing
vote_average has 2614 (5.8%) missing valuesMissing
runtime has 1512 (3.4%) missing valuesMissing
overview has 951 (2.1%) missing valuesMissing
spoken_languages has 3597 (8.0%) missing valuesMissing
cast has 2189 (4.9%) missing valuesMissing
director has 731 (1.6%) missing valuesMissing
popularity is highly skewed (γ1 = 29.18592873)Skewed
id has unique valuesUnique
vote_count has 2614 (5.8%) zerosZeros
cast_size has 2189 (4.9%) zerosZeros
crew_size has 620 (1.4%) zerosZeros

Reproduction

Analysis started2023-08-16 15:30:54.037409
Analysis finished2023-08-16 15:31:17.795993
Duration23.76 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct44691
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107186.24
Minimum2
Maximum469172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:18.068008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5176.5
Q126033.5
median59110
Q3154251
95-th percentile356484.5
Maximum469172
Range469170
Interquartile range (IQR)128217.5

Descriptive statistics

Standard deviation111806.36
Coefficient of variation (CV)1.0431037
Kurtosis0.60541951
Mean107186.24
Median Absolute Deviation (MAD)43873
Skewness1.2969007
Sum4.7902604 × 109
Variance1.2500663 × 1010
MonotonicityNot monotonic
2023-08-16T17:31:18.206907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
862 1
 
< 0.1%
58611 1
 
< 0.1%
80136 1
 
< 0.1%
81616 1
 
< 0.1%
96411 1
 
< 0.1%
270015 1
 
< 0.1%
271718 1
 
< 0.1%
29510 1
 
< 0.1%
26861 1
 
< 0.1%
229702 1
 
< 0.1%
Other values (44681) 44681
> 99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
469172 1
< 0.1%
468707 1
< 0.1%
468343 1
< 0.1%
467731 1
< 0.1%
465044 1
< 0.1%
464819 1
< 0.1%
464207 1
< 0.1%
464111 1
< 0.1%
463906 1
< 0.1%
463800 1
< 0.1%

title
Text

Distinct41605
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:18.601235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length105
Median length79
Mean length16.699738
Min length1

Characters and Unicode

Total characters746328
Distinct characters278
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39336 ?
Unique (%)88.0%

Sample

1st rowToy Story
2nd rowJumanji
3rd rowGrumpier Old Men
4th rowWaiting to Exhale
5th rowFather of the Bride Part II
ValueCountFrequency (%)
the 14366
 
10.7%
of 4857
 
3.6%
a 2210
 
1.6%
in 1672
 
1.2%
and 1606
 
1.2%
to 1040
 
0.8%
747
 
0.6%
man 663
 
0.5%
love 648
 
0.5%
for 592
 
0.4%
Other values (23973) 105767
78.8%
2023-08-16T17:31:19.201657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89499
 
12.0%
e 75120
 
10.1%
a 48143
 
6.5%
o 44944
 
6.0%
n 40191
 
5.4%
r 39429
 
5.3%
i 39132
 
5.2%
t 36156
 
4.8%
s 29071
 
3.9%
h 28123
 
3.8%
Other values (268) 276520
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 525819
70.5%
Uppercase Letter 115592
 
15.5%
Space Separator 89499
 
12.0%
Other Punctuation 10347
 
1.4%
Decimal Number 3808
 
0.5%
Dash Punctuation 962
 
0.1%
Close Punctuation 84
 
< 0.1%
Open Punctuation 82
 
< 0.1%
Final Punctuation 38
 
< 0.1%
Math Symbol 22
 
< 0.1%
Other values (7) 75
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 75120
14.3%
a 48143
9.2%
o 44944
 
8.5%
n 40191
 
7.6%
r 39429
 
7.5%
i 39132
 
7.4%
t 36156
 
6.9%
s 29071
 
5.5%
h 28123
 
5.3%
l 25512
 
4.9%
Other values (120) 119998
22.8%
Uppercase Letter
ValueCountFrequency (%)
T 15805
13.7%
S 10191
 
8.8%
M 7929
 
6.9%
B 7543
 
6.5%
C 7054
 
6.1%
A 6697
 
5.8%
D 6257
 
5.4%
L 5768
 
5.0%
W 5105
 
4.4%
H 5102
 
4.4%
Other values (64) 38141
33.0%
Other Punctuation
ValueCountFrequency (%)
: 3673
35.5%
' 2473
23.9%
. 1574
15.2%
, 1113
 
10.8%
! 640
 
6.2%
& 454
 
4.4%
? 267
 
2.6%
/ 77
 
0.7%
* 19
 
0.2%
# 13
 
0.1%
Other values (8) 44
 
0.4%
Other Letter
ValueCountFrequency (%)
ه 2
 
10.0%
ک 2
 
10.0%
چ 2
 
10.0%
ی 2
 
10.0%
س 1
 
5.0%
ا 1
 
5.0%
ج 1
 
5.0%
ª 1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (6) 6
30.0%
Decimal Number
ValueCountFrequency (%)
2 853
22.4%
1 691
18.1%
0 613
16.1%
3 476
12.5%
9 227
 
6.0%
4 226
 
5.9%
5 222
 
5.8%
7 186
 
4.9%
8 159
 
4.2%
6 155
 
4.1%
Other Number
ValueCountFrequency (%)
½ 12
63.2%
² 3
 
15.8%
³ 2
 
10.5%
1
 
5.3%
1
 
5.3%
Other Symbol
ValueCountFrequency (%)
° 3
37.5%
2
25.0%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 17
77.3%
× 3
 
13.6%
= 1
 
4.5%
1
 
4.5%
Currency Symbol
ValueCountFrequency (%)
$ 18
85.7%
¢ 2
 
9.5%
£ 1
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 948
98.5%
14
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 79
94.0%
] 5
 
6.0%
Open Punctuation
ValueCountFrequency (%)
( 77
93.9%
[ 5
 
6.1%
Final Punctuation
ValueCountFrequency (%)
37
97.4%
1
 
2.6%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
89499
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Format
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 640946
85.9%
Common 104897
 
14.1%
Cyrillic 296
 
< 0.1%
Greek 170
 
< 0.1%
Arabic 11
 
< 0.1%
Katakana 8
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 75120
 
11.7%
a 48143
 
7.5%
o 44944
 
7.0%
n 40191
 
6.3%
r 39429
 
6.2%
i 39132
 
6.1%
t 36156
 
5.6%
s 29071
 
4.5%
h 28123
 
4.4%
l 25512
 
4.0%
Other values (107) 235125
36.7%
Common
ValueCountFrequency (%)
89499
85.3%
: 3673
 
3.5%
' 2473
 
2.4%
. 1574
 
1.5%
, 1113
 
1.1%
- 948
 
0.9%
2 853
 
0.8%
1 691
 
0.7%
! 640
 
0.6%
0 613
 
0.6%
Other values (48) 2820
 
2.7%
Cyrillic
ValueCountFrequency (%)
о 26
 
8.8%
а 26
 
8.8%
е 25
 
8.4%
и 20
 
6.8%
р 19
 
6.4%
н 17
 
5.7%
к 15
 
5.1%
л 14
 
4.7%
т 14
 
4.7%
в 12
 
4.1%
Other values (36) 108
36.5%
Greek
ValueCountFrequency (%)
α 20
 
11.8%
ο 14
 
8.2%
ι 14
 
8.2%
τ 9
 
5.3%
λ 8
 
4.7%
ά 8
 
4.7%
ρ 8
 
4.7%
ν 7
 
4.1%
η 6
 
3.5%
π 6
 
3.5%
Other values (32) 70
41.2%
Katakana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
ه 2
18.2%
ک 2
18.2%
چ 2
18.2%
ی 2
18.2%
س 1
9.1%
ا 1
9.1%
ج 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 744860
99.8%
None 1085
 
0.1%
Cyrillic 296
 
< 0.1%
Punctuation 61
 
< 0.1%
Arabic 11
 
< 0.1%
Katakana 8
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89499
 
12.0%
e 75120
 
10.1%
a 48143
 
6.5%
o 44944
 
6.0%
n 40191
 
5.4%
r 39429
 
5.3%
i 39132
 
5.3%
t 36156
 
4.9%
s 29071
 
3.9%
h 28123
 
3.8%
Other values (76) 275052
36.9%
None
ValueCountFrequency (%)
é 212
19.5%
ä 109
 
10.0%
ö 53
 
4.9%
è 49
 
4.5%
ô 44
 
4.1%
ó 37
 
3.4%
ü 36
 
3.3%
á 35
 
3.2%
ı 33
 
3.0%
à 33
 
3.0%
Other values (108) 444
40.9%
Punctuation
ValueCountFrequency (%)
37
60.7%
14
 
23.0%
5
 
8.2%
2
 
3.3%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Cyrillic
ValueCountFrequency (%)
о 26
 
8.8%
а 26
 
8.8%
е 25
 
8.4%
и 20
 
6.8%
р 19
 
6.4%
н 17
 
5.7%
к 15
 
5.1%
л 14
 
4.7%
т 14
 
4.7%
в 12
 
4.1%
Other values (36) 108
36.5%
Arabic
ValueCountFrequency (%)
ه 2
18.2%
ک 2
18.2%
چ 2
18.2%
ی 2
18.2%
س 1
9.1%
ا 1
9.1%
ج 1
9.1%
Misc Symbols
ValueCountFrequency (%)
2
66.7%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Math Operators
ValueCountFrequency (%)
1
100.0%

tagline
Text

MISSING 

Distinct20171
Distinct (%)99.4%
Missing24407
Missing (%)54.6%
Memory size349.3 KiB
2023-08-16T17:31:19.615413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length297
Median length204
Mean length47.005127
Min length2

Characters and Unicode

Total characters953452
Distinct characters170
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20077 ?
Unique (%)99.0%

Sample

1st rowRoll the dice and unleash the excitement!
2nd rowStill Yelling. Still Fighting. Still Ready for Love.
3rd rowFriends are the people who let you be yourself... and never let you forget it.
4th rowJust When His World Is Back To Normal... He's In For The Surprise Of His Life!
5th rowA Los Angeles Crime Saga
ValueCountFrequency (%)
the 10940
 
6.3%
a 6768
 
3.9%
of 4381
 
2.5%
to 3552
 
2.1%
is 2778
 
1.6%
and 2675
 
1.5%
in 2674
 
1.5%
you 2375
 
1.4%
1575
 
0.9%
for 1516
 
0.9%
Other values (15058) 133723
77.3%
2023-08-16T17:31:20.182064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152821
16.0%
e 93877
 
9.8%
t 56885
 
6.0%
o 56246
 
5.9%
a 51196
 
5.4%
n 47252
 
5.0%
i 45816
 
4.8%
r 44723
 
4.7%
s 42149
 
4.4%
h 36971
 
3.9%
Other values (160) 325516
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 676672
71.0%
Space Separator 152821
 
16.0%
Uppercase Letter 74634
 
7.8%
Other Punctuation 44389
 
4.7%
Decimal Number 2684
 
0.3%
Dash Punctuation 1932
 
0.2%
Final Punctuation 98
 
< 0.1%
Open Punctuation 56
 
< 0.1%
Close Punctuation 55
 
< 0.1%
Currency Symbol 37
 
< 0.1%
Other values (7) 74
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 93877
13.9%
t 56885
 
8.4%
o 56246
 
8.3%
a 51196
 
7.6%
n 47252
 
7.0%
i 45816
 
6.8%
r 44723
 
6.6%
s 42149
 
6.2%
h 36971
 
5.5%
l 30006
 
4.4%
Other values (43) 171551
25.4%
Other Letter
ValueCountFrequency (%)
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (24) 24
70.6%
Uppercase Letter
ValueCountFrequency (%)
T 9953
 
13.3%
A 6840
 
9.2%
S 5623
 
7.5%
H 4380
 
5.9%
I 4363
 
5.8%
E 4291
 
5.7%
W 3656
 
4.9%
O 3460
 
4.6%
L 3180
 
4.3%
N 3179
 
4.3%
Other values (20) 25709
34.4%
Other Punctuation
ValueCountFrequency (%)
. 26528
59.8%
! 5764
 
13.0%
' 5645
 
12.7%
, 4213
 
9.5%
? 1151
 
2.6%
" 580
 
1.3%
148
 
0.3%
: 137
 
0.3%
& 84
 
0.2%
* 42
 
0.1%
Other values (7) 97
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 801
29.8%
1 516
19.2%
2 299
 
11.1%
3 208
 
7.7%
9 208
 
7.7%
5 167
 
6.2%
4 140
 
5.2%
7 121
 
4.5%
6 120
 
4.5%
8 104
 
3.9%
Math Symbol
ValueCountFrequency (%)
+ 5
35.7%
= 5
35.7%
| 2
 
14.3%
1
 
7.1%
~ 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1915
99.1%
9
 
0.5%
8
 
0.4%
Final Punctuation
ValueCountFrequency (%)
82
83.7%
15
 
15.3%
» 1
 
1.0%
Initial Punctuation
ValueCountFrequency (%)
14
73.7%
4
 
21.1%
« 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 49
87.5%
[ 7
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 48
87.3%
] 7
 
12.7%
Other Number
ValueCountFrequency (%)
½ 2
66.7%
² 1
33.3%
Modifier Letter
ValueCountFrequency (%)
ˈ 1
50.0%
ˌ 1
50.0%
Space Separator
ValueCountFrequency (%)
152821
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 37
100.0%
Nonspacing Mark
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 751306
78.8%
Common 202111
 
21.2%
Han 21
 
< 0.1%
Tamil 5
 
< 0.1%
Hiragana 5
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 93877
 
12.5%
t 56885
 
7.6%
o 56246
 
7.5%
a 51196
 
6.8%
n 47252
 
6.3%
i 45816
 
6.1%
r 44723
 
6.0%
s 42149
 
5.6%
h 36971
 
4.9%
l 30006
 
4.0%
Other values (73) 246185
32.8%
Common
ValueCountFrequency (%)
152821
75.6%
. 26528
 
13.1%
! 5764
 
2.9%
' 5645
 
2.8%
, 4213
 
2.1%
- 1915
 
0.9%
? 1151
 
0.6%
0 801
 
0.4%
" 580
 
0.3%
1 516
 
0.3%
Other values (42) 2177
 
1.1%
Han
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Tamil
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 953023
> 99.9%
Punctuation 280
 
< 0.1%
None 109
 
< 0.1%
CJK 21
 
< 0.1%
Tamil 5
 
< 0.1%
Hiragana 5
 
< 0.1%
Katakana 4
 
< 0.1%
IPA Ext 2
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152821
16.0%
e 93877
 
9.9%
t 56885
 
6.0%
o 56246
 
5.9%
a 51196
 
5.4%
n 47252
 
5.0%
i 45816
 
4.8%
r 44723
 
4.7%
s 42149
 
4.4%
h 36971
 
3.9%
Other values (78) 325087
34.1%
Punctuation
ValueCountFrequency (%)
148
52.9%
82
29.3%
15
 
5.4%
14
 
5.0%
9
 
3.2%
8
 
2.9%
4
 
1.4%
None
ValueCountFrequency (%)
é 17
15.6%
ä 16
14.7%
ö 8
 
7.3%
ó 6
 
5.5%
á 6
 
5.5%
ı 5
 
4.6%
í 5
 
4.6%
ü 5
 
4.6%
· 4
 
3.7%
ć 3
 
2.8%
Other values (26) 34
31.2%
IPA Ext
ValueCountFrequency (%)
ə 2
100.0%
CJK
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Tamil
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Modifier Letters
ValueCountFrequency (%)
ˈ 1
50.0%
ˌ 1
50.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct17225
Distinct (%)38.6%
Missing34
Missing (%)0.1%
Memory size349.3 KiB
Minimum1874-12-09 00:00:00
Maximum2017-12-27 00:00:00
2023-08-16T17:31:20.330477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:20.473054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

genres
Text

MISSING 

Distinct4044
Distinct (%)9.5%
Missing2105
Missing (%)4.7%
Memory size349.3 KiB
2023-08-16T17:31:20.712338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length73
Median length59
Mean length15.351759
Min length3

Characters and Unicode

Total characters653770
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2362 ?
Unique (%)5.5%

Sample

1st rowAnimation|Comedy|Family
2nd rowAdventure|Fantasy|Family
3rd rowRomance|Comedy
4th rowComedy|Drama|Romance
5th rowComedy
ValueCountFrequency (%)
drama 4935
 
10.6%
comedy 3581
 
7.7%
documentary 2670
 
5.8%
fiction 1744
 
3.8%
drama|romance 1291
 
2.8%
comedy|drama 1125
 
2.4%
horror 962
 
2.1%
comedy|romance 921
 
2.0%
science 641
 
1.4%
comedy|drama|romance 591
 
1.3%
Other values (3725) 27896
60.2%
2023-08-16T17:31:21.116810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 68488
 
10.5%
a 61185
 
9.4%
e 55278
 
8.5%
m 52583
 
8.0%
o 48065
 
7.4%
| 47639
 
7.3%
i 39312
 
6.0%
n 35301
 
5.4%
y 28261
 
4.3%
c 27697
 
4.2%
Other values (20) 189961
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 507606
77.6%
Uppercase Letter 94754
 
14.5%
Math Symbol 47639
 
7.3%
Space Separator 3771
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 68488
13.5%
a 61185
12.1%
e 55278
10.9%
m 52583
10.4%
o 48065
9.5%
i 39312
7.7%
n 35301
7.0%
y 28261
5.6%
c 27697
5.5%
t 25973
 
5.1%
Other values (7) 65463
12.9%
Uppercase Letter
ValueCountFrequency (%)
D 23921
25.2%
C 17349
18.3%
A 11921
12.6%
F 9629
10.2%
T 8323
 
8.8%
R 6662
 
7.0%
H 6025
 
6.4%
M 4798
 
5.1%
S 3013
 
3.2%
W 2355
 
2.5%
Math Symbol
ValueCountFrequency (%)
| 47639
100.0%
Space Separator
ValueCountFrequency (%)
3771
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 602360
92.1%
Common 51410
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 68488
11.4%
a 61185
 
10.2%
e 55278
 
9.2%
m 52583
 
8.7%
o 48065
 
8.0%
i 39312
 
6.5%
n 35301
 
5.9%
y 28261
 
4.7%
c 27697
 
4.6%
t 25973
 
4.3%
Other values (18) 160217
26.6%
Common
ValueCountFrequency (%)
| 47639
92.7%
3771
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 653770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 68488
 
10.5%
a 61185
 
9.4%
e 55278
 
8.5%
m 52583
 
8.0%
o 48065
 
7.4%
| 47639
 
7.3%
i 39312
 
6.0%
n 35301
 
5.4%
y 28261
 
4.3%
c 27697
 
4.2%
Other values (20) 189961
29.1%

belongs_to_collection
Text

MISSING 

Distinct1691
Distinct (%)37.9%
Missing40228
Missing (%)90.0%
Memory size349.3 KiB
2023-08-16T17:31:21.501659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length54
Median length43
Mean length23.868474
Min length3

Characters and Unicode

Total characters106525
Distinct characters166
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)8.8%

Sample

1st rowToy Story Collection
2nd rowGrumpy Old Men Collection
3rd rowFather of the Bride Collection
4th rowJames Bond Collection
5th rowBalto Collection
ValueCountFrequency (%)
collection 3723
25.3%
the 1142
 
7.8%
of 229
 
1.6%
series 145
 
1.0%
139
 
0.9%
trilogy 86
 
0.6%
and 84
 
0.6%
man 62
 
0.4%
a 62
 
0.4%
in 56
 
0.4%
Other values (2403) 8984
61.1%
2023-08-16T17:31:22.048827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 11052
 
10.4%
e 10397
 
9.8%
10250
 
9.6%
l 10149
 
9.5%
i 7522
 
7.1%
n 7372
 
6.9%
t 6454
 
6.1%
c 4818
 
4.5%
C 4452
 
4.2%
a 4440
 
4.2%
Other values (156) 29619
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 80689
75.7%
Uppercase Letter 13812
 
13.0%
Space Separator 10250
 
9.6%
Other Punctuation 575
 
0.5%
Close Punctuation 334
 
0.3%
Open Punctuation 334
 
0.3%
Decimal Number 321
 
0.3%
Dash Punctuation 159
 
0.1%
Other Letter 37
 
< 0.1%
Final Punctuation 9
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 11052
13.7%
e 10397
12.9%
l 10149
12.6%
i 7522
9.3%
n 7372
9.1%
t 6454
8.0%
c 4818
 
6.0%
a 4440
 
5.5%
r 3855
 
4.8%
s 2577
 
3.2%
Other values (69) 12053
14.9%
Uppercase Letter
ValueCountFrequency (%)
C 4452
32.2%
T 1519
 
11.0%
S 1056
 
7.6%
B 677
 
4.9%
M 628
 
4.5%
A 508
 
3.7%
D 501
 
3.6%
H 461
 
3.3%
P 425
 
3.1%
G 417
 
3.0%
Other values (33) 3168
22.9%
Other Letter
ValueCountFrequency (%)
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
3
 
8.1%
2
 
5.4%
Other values (4) 8
21.6%
Other Punctuation
ValueCountFrequency (%)
. 172
29.9%
' 107
18.6%
: 99
17.2%
, 78
13.6%
& 52
 
9.0%
! 35
 
6.1%
/ 21
 
3.7%
* 4
 
0.7%
? 4
 
0.7%
3
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 80
24.9%
9 64
19.9%
3 54
16.8%
0 51
15.9%
2 21
 
6.5%
8 13
 
4.0%
5 12
 
3.7%
7 11
 
3.4%
6 10
 
3.1%
4 5
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 329
98.5%
] 5
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 329
98.5%
[ 5
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 157
98.7%
2
 
1.3%
Space Separator
ValueCountFrequency (%)
10250
100.0%
Final Punctuation
ValueCountFrequency (%)
9
100.0%
Modifier Letter
ValueCountFrequency (%)
3
100.0%
Other Number
ValueCountFrequency (%)
½ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 94087
88.3%
Common 11987
 
11.3%
Cyrillic 414
 
0.4%
Hiragana 15
 
< 0.1%
Hangul 10
 
< 0.1%
Katakana 9
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 11052
11.7%
e 10397
11.1%
l 10149
10.8%
i 7522
 
8.0%
n 7372
 
7.8%
t 6454
 
6.9%
c 4818
 
5.1%
C 4452
 
4.7%
a 4440
 
4.7%
r 3855
 
4.1%
Other values (70) 23576
25.1%
Cyrillic
ValueCountFrequency (%)
л 48
 
11.6%
и 41
 
9.9%
о 37
 
8.9%
к 30
 
7.2%
е 27
 
6.5%
я 25
 
6.0%
а 17
 
4.1%
ц 16
 
3.9%
К 16
 
3.9%
р 14
 
3.4%
Other values (32) 143
34.5%
Common
ValueCountFrequency (%)
10250
85.5%
) 329
 
2.7%
( 329
 
2.7%
. 172
 
1.4%
- 157
 
1.3%
' 107
 
0.9%
: 99
 
0.8%
1 80
 
0.7%
, 78
 
0.7%
9 64
 
0.5%
Other values (20) 322
 
2.7%
Hiragana
ValueCountFrequency (%)
3
20.0%
3
20.0%
3
20.0%
3
20.0%
3
20.0%
Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%
Katakana
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105817
99.3%
Cyrillic 414
 
0.4%
None 240
 
0.2%
Hiragana 15
 
< 0.1%
Punctuation 14
 
< 0.1%
Katakana 12
 
< 0.1%
Hangul 10
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 11052
 
10.4%
e 10397
 
9.8%
10250
 
9.7%
l 10149
 
9.6%
i 7522
 
7.1%
n 7372
 
7.0%
t 6454
 
6.1%
c 4818
 
4.6%
C 4452
 
4.2%
a 4440
 
4.2%
Other values (67) 28911
27.3%
Cyrillic
ValueCountFrequency (%)
л 48
 
11.6%
и 41
 
9.9%
о 37
 
8.9%
к 30
 
7.2%
е 27
 
6.5%
я 25
 
6.0%
а 17
 
4.1%
ц 16
 
3.9%
К 16
 
3.9%
р 14
 
3.4%
Other values (32) 143
34.5%
None
ValueCountFrequency (%)
é 43
17.9%
ä 36
15.0%
ô 35
14.6%
ò 28
11.7%
ö 19
7.9%
ı 14
 
5.8%
ó 14
 
5.8%
í 9
 
3.8%
İ 4
 
1.7%
á 4
 
1.7%
Other values (19) 34
14.2%
Punctuation
ValueCountFrequency (%)
9
64.3%
3
 
21.4%
2
 
14.3%
Hiragana
ValueCountFrequency (%)
3
20.0%
3
20.0%
3
20.0%
3
20.0%
3
20.0%
Katakana
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
3
25.0%
CJK
ValueCountFrequency (%)
3
100.0%
Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%
Distinct89
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Memory size349.3 KiB
2023-08-16T17:31:22.220266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters89362
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)< 0.1%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 31755
71.1%
fr 2400
 
5.4%
it 1471
 
3.3%
ja 1339
 
3.0%
de 1064
 
2.4%
es 976
 
2.2%
ru 812
 
1.8%
hi 501
 
1.1%
ko 442
 
1.0%
zh 406
 
0.9%
Other values (79) 3515
 
7.9%
2023-08-16T17:31:22.487114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 34048
38.1%
n 32449
36.3%
r 3572
 
4.0%
f 2770
 
3.1%
i 2298
 
2.6%
t 2178
 
2.4%
a 1822
 
2.0%
s 1628
 
1.8%
j 1340
 
1.5%
d 1307
 
1.5%
Other values (16) 5950
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 89362
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34048
38.1%
n 32449
36.3%
r 3572
 
4.0%
f 2770
 
3.1%
i 2298
 
2.6%
t 2178
 
2.4%
a 1822
 
2.0%
s 1628
 
1.8%
j 1340
 
1.5%
d 1307
 
1.5%
Other values (16) 5950
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 89362
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34048
38.1%
n 32449
36.3%
r 3572
 
4.0%
f 2770
 
3.1%
i 2298
 
2.6%
t 2178
 
2.4%
a 1822
 
2.0%
s 1628
 
1.8%
j 1340
 
1.5%
d 1307
 
1.5%
Other values (16) 5950
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 34048
38.1%
n 32449
36.3%
r 3572
 
4.0%
f 2770
 
3.1%
i 2298
 
2.6%
t 2178
 
2.4%
a 1822
 
2.0%
s 1628
 
1.8%
j 1340
 
1.5%
d 1307
 
1.5%
Other values (16) 5950
 
6.7%

budget_musd
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1218
Distinct (%)13.8%
Missing35837
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean21.669886
Minimum1 × 10-6
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:22.629458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1 × 10-6
5-th percentile0.05
Q12
median8.2
Q325
95-th percentile90
Maximum380
Range380
Interquartile range (IQR)23

Descriptive statistics

Standard deviation34.359837
Coefficient of variation (CV)1.585603
Kurtosis12.738098
Mean21.669886
Median Absolute Deviation (MAD)7.574974
Skewness3.1254794
Sum191865.17
Variance1180.5984
MonotonicityNot monotonic
2023-08-16T17:31:22.766116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 286
 
0.6%
10 258
 
0.6%
20 243
 
0.5%
2 241
 
0.5%
15 226
 
0.5%
3 220
 
0.5%
25 206
 
0.5%
1 195
 
0.4%
30 189
 
0.4%
4 180
 
0.4%
Other values (1208) 6610
 
14.8%
(Missing) 35837
80.2%
ValueCountFrequency (%)
1 × 10-625
0.1%
2 × 10-613
< 0.1%
3 × 10-69
 
< 0.1%
4 × 10-67
 
< 0.1%
5 × 10-68
 
< 0.1%
6 × 10-65
 
< 0.1%
7 × 10-64
 
< 0.1%
8 × 10-65
 
< 0.1%
9 × 10-61
 
< 0.1%
1 × 10-510
 
< 0.1%
ValueCountFrequency (%)
380 1
 
< 0.1%
300 1
 
< 0.1%
280 1
 
< 0.1%
270 1
 
< 0.1%
260 3
 
< 0.1%
258 1
 
< 0.1%
255 1
 
< 0.1%
250 10
< 0.1%
245 2
 
< 0.1%
237 1
 
< 0.1%

revenue_musd
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6850
Distinct (%)92.8%
Missing37306
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean68.968649
Minimum1 × 10-6
Maximum2787.9651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:22.914499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1 × 10-6
5-th percentile0.0291868
Q12.40542
median16.872671
Q367.642693
95-th percentile314.05088
Maximum2787.9651
Range2787.9651
Interquartile range (IQR)65.237273

Descriptive statistics

Standard deviation146.60897
Coefficient of variation (CV)2.1257335
Kurtosis42.869923
Mean68.968649
Median Absolute Deviation (MAD)16.550719
Skewness5.140556
Sum509333.48
Variance21494.189
MonotonicityNot monotonic
2023-08-16T17:31:23.043490image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 20
 
< 0.1%
10 19
 
< 0.1%
11 19
 
< 0.1%
2 18
 
< 0.1%
6 17
 
< 0.1%
5 14
 
< 0.1%
0.5 13
 
< 0.1%
8 13
 
< 0.1%
1 × 10-612
 
< 0.1%
14 12
 
< 0.1%
Other values (6840) 7228
 
16.2%
(Missing) 37306
83.5%
ValueCountFrequency (%)
1 × 10-612
< 0.1%
2 × 10-63
 
< 0.1%
3 × 10-69
< 0.1%
4 × 10-64
 
< 0.1%
5 × 10-65
< 0.1%
6 × 10-62
 
< 0.1%
7 × 10-64
 
< 0.1%
8 × 10-65
< 0.1%
9 × 10-61
 
< 0.1%
1 × 10-52
 
< 0.1%
ValueCountFrequency (%)
2787.965087 1
< 0.1%
2068.223624 1
< 0.1%
1845.034188 1
< 0.1%
1519.55791 1
< 0.1%
1513.52881 1
< 0.1%
1506.24936 1
< 0.1%
1405.403694 1
< 0.1%
1342 1
< 0.1%
1274.219009 1
< 0.1%
1262.886337 1
< 0.1%

production_companies
Text

MISSING 

Distinct22537
Distinct (%)67.6%
Missing11335
Missing (%)25.4%
Memory size349.3 KiB
2023-08-16T17:31:23.353082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length584
Median length392
Mean length40.381281
Min length2

Characters and Unicode

Total characters1346958
Distinct characters293
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20212 ?
Unique (%)60.6%

Sample

1st rowPixar Animation Studios
2nd rowTriStar Pictures|Teitler Film|Interscope Communications
3rd rowWarner Bros.|Lancaster Gate
4th rowTwentieth Century Fox Film Corporation
5th rowSandollar Productions|Touchstone Pictures
ValueCountFrequency (%)
productions 5382
 
3.9%
film 5127
 
3.7%
pictures 4941
 
3.5%
films 4851
 
3.5%
entertainment 2562
 
1.8%
corporation 1389
 
1.0%
company 1132
 
0.8%
fox 1127
 
0.8%
de 1044
 
0.7%
paramount 1028
 
0.7%
Other values (35770) 111146
79.5%
2023-08-16T17:31:23.826221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106380
 
7.9%
i 106196
 
7.9%
e 93973
 
7.0%
n 89362
 
6.6%
o 84730
 
6.3%
r 83028
 
6.2%
t 82881
 
6.2%
a 76598
 
5.7%
s 62248
 
4.6%
l 50885
 
3.8%
Other values (283) 510677
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 980221
72.8%
Uppercase Letter 197551
 
14.7%
Space Separator 106385
 
7.9%
Math Symbol 37328
 
2.8%
Other Punctuation 8079
 
0.6%
Dash Punctuation 4311
 
0.3%
Decimal Number 4305
 
0.3%
Open Punctuation 4297
 
0.3%
Close Punctuation 4296
 
0.3%
Other Letter 140
 
< 0.1%
Other values (7) 45
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 106196
10.8%
e 93973
9.6%
n 89362
9.1%
o 84730
8.6%
r 83028
8.5%
t 82881
8.5%
a 76598
 
7.8%
s 62248
 
6.4%
l 50885
 
5.2%
m 43954
 
4.5%
Other values (101) 206366
21.1%
Other Letter
ValueCountFrequency (%)
9
 
6.4%
8
 
5.7%
6
 
4.3%
5
 
3.6%
5
 
3.6%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
3
 
2.1%
Other values (62) 85
60.7%
Uppercase Letter
ValueCountFrequency (%)
P 27702
14.0%
F 26157
13.2%
C 20434
 
10.3%
M 13285
 
6.7%
S 11826
 
6.0%
E 9682
 
4.9%
A 9475
 
4.8%
T 9290
 
4.7%
B 8953
 
4.5%
G 7760
 
3.9%
Other values (52) 52987
26.8%
Other Punctuation
ValueCountFrequency (%)
. 5622
69.6%
& 758
 
9.4%
/ 639
 
7.9%
' 448
 
5.5%
, 399
 
4.9%
" 133
 
1.6%
! 35
 
0.4%
% 18
 
0.2%
: 9
 
0.1%
@ 5
 
0.1%
Other values (6) 13
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 1025
23.8%
1 701
16.3%
0 635
14.8%
3 554
12.9%
4 478
11.1%
9 204
 
4.7%
6 194
 
4.5%
5 173
 
4.0%
8 172
 
4.0%
7 169
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 4287
99.8%
[ 9
 
0.2%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4286
99.8%
] 9
 
0.2%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
106380
> 99.9%
  5
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
| 36673
98.2%
+ 655
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 4309
> 99.9%
2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
° 23
92.0%
2
 
8.0%
Final Punctuation
ValueCountFrequency (%)
3
50.0%
» 3
50.0%
Other Number
ValueCountFrequency (%)
½ 1
50.0%
² 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 3
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1177380
87.4%
Common 169044
 
12.6%
Cyrillic 362
 
< 0.1%
Hangul 115
 
< 0.1%
Greek 31
 
< 0.1%
Han 26
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 106196
 
9.0%
e 93973
 
8.0%
n 89362
 
7.6%
o 84730
 
7.2%
r 83028
 
7.1%
t 82881
 
7.0%
a 76598
 
6.5%
s 62248
 
5.3%
l 50885
 
4.3%
m 43954
 
3.7%
Other values (99) 403525
34.3%
Hangul
ValueCountFrequency (%)
9
 
7.8%
8
 
7.0%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
Other values (43) 60
52.2%
Common
ValueCountFrequency (%)
106380
62.9%
| 36673
 
21.7%
. 5622
 
3.3%
- 4309
 
2.5%
( 4287
 
2.5%
) 4286
 
2.5%
2 1025
 
0.6%
& 758
 
0.4%
1 701
 
0.4%
+ 655
 
0.4%
Other values (37) 4348
 
2.6%
Cyrillic
ValueCountFrequency (%)
и 32
 
8.8%
о 28
 
7.7%
а 26
 
7.2%
л 22
 
6.1%
н 20
 
5.5%
м 19
 
5.2%
е 16
 
4.4%
с 16
 
4.4%
ь 16
 
4.4%
т 16
 
4.4%
Other values (35) 151
41.7%
Greek
ValueCountFrequency (%)
ο 3
 
9.7%
ν 3
 
9.7%
λ 2
 
6.5%
Ε 2
 
6.5%
ρ 2
 
6.5%
η 2
 
6.5%
τ 2
 
6.5%
ι 2
 
6.5%
Κ 2
 
6.5%
ό 1
 
3.2%
Other values (10) 10
32.3%
Han
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (9) 9
34.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1340793
99.5%
None 5657
 
0.4%
Cyrillic 362
 
< 0.1%
Hangul 113
 
< 0.1%
CJK 26
 
< 0.1%
Punctuation 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106380
 
7.9%
i 106196
 
7.9%
e 93973
 
7.0%
n 89362
 
6.7%
o 84730
 
6.3%
r 83028
 
6.2%
t 82881
 
6.2%
a 76598
 
5.7%
s 62248
 
4.6%
l 50885
 
3.8%
Other values (77) 504512
37.6%
None
ValueCountFrequency (%)
é 3149
55.7%
ó 410
 
7.2%
á 314
 
5.6%
í 172
 
3.0%
ü 153
 
2.7%
ñ 149
 
2.6%
ô 138
 
2.4%
ä 135
 
2.4%
è 134
 
2.4%
ö 131
 
2.3%
Other values (76) 772
 
13.6%
Cyrillic
ValueCountFrequency (%)
и 32
 
8.8%
о 28
 
7.7%
а 26
 
7.2%
л 22
 
6.1%
н 20
 
5.5%
м 19
 
5.2%
е 16
 
4.4%
с 16
 
4.4%
ь 16
 
4.4%
т 16
 
4.4%
Other values (35) 151
41.7%
Hangul
ValueCountFrequency (%)
9
 
8.0%
8
 
7.1%
6
 
5.3%
5
 
4.4%
5
 
4.4%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
3
 
2.7%
Other values (42) 58
51.3%
Punctuation
ValueCountFrequency (%)
3
42.9%
2
28.6%
1
 
14.3%
1
 
14.3%
CJK
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (9) 9
34.6%

production_countries
Text

MISSING 

Distinct2377
Distinct (%)6.1%
Missing5856
Missing (%)13.1%
Memory size349.3 KiB
2023-08-16T17:31:24.097051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length213
Median length153
Mean length18.803296
Min length4

Characters and Unicode

Total characters730226
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1761 ?
Unique (%)4.5%

Sample

1st rowUnited States of America
2nd rowUnited States of America
3rd rowUnited States of America
4th rowUnited States of America
5th rowUnited States of America
ValueCountFrequency (%)
united 21363
19.8%
states 21006
19.5%
of 21005
19.5%
america 20193
18.7%
kingdom 2846
 
2.6%
france 1636
 
1.5%
japan 1348
 
1.3%
italy 1017
 
0.9%
kingdom|united 930
 
0.9%
canada 824
 
0.8%
Other values (2123) 15556
14.4%
2023-08-16T17:31:24.525561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 80063
 
11.0%
t 72121
 
9.9%
a 69900
 
9.6%
68889
 
9.4%
i 58148
 
8.0%
n 47117
 
6.5%
d 34310
 
4.7%
r 32211
 
4.4%
o 29378
 
4.0%
m 28511
 
3.9%
Other values (43) 209578
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 554348
75.9%
Uppercase Letter 96833
 
13.3%
Space Separator 68889
 
9.4%
Math Symbol 10151
 
1.4%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 80063
14.4%
t 72121
13.0%
a 69900
12.6%
i 58148
10.5%
n 47117
8.5%
d 34310
6.2%
r 32211
5.8%
o 29378
 
5.3%
m 28511
 
5.1%
c 26170
 
4.7%
Other values (16) 76419
13.8%
Uppercase Letter
ValueCountFrequency (%)
U 25208
26.0%
S 23672
24.4%
A 22232
23.0%
K 5192
 
5.4%
F 4282
 
4.4%
I 3545
 
3.7%
C 2565
 
2.6%
G 2452
 
2.5%
J 1654
 
1.7%
R 1296
 
1.3%
Other values (14) 4735
 
4.9%
Space Separator
ValueCountFrequency (%)
68889
100.0%
Math Symbol
ValueCountFrequency (%)
| 10151
100.0%
Other Punctuation
ValueCountFrequency (%)
' 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 651181
89.2%
Common 79045
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 80063
12.3%
t 72121
11.1%
a 69900
10.7%
i 58148
 
8.9%
n 47117
 
7.2%
d 34310
 
5.3%
r 32211
 
4.9%
o 29378
 
4.5%
m 28511
 
4.4%
c 26170
 
4.0%
Other values (40) 173252
26.6%
Common
ValueCountFrequency (%)
68889
87.2%
| 10151
 
12.8%
' 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 80063
 
11.0%
t 72121
 
9.9%
a 69900
 
9.6%
68889
 
9.4%
i 58148
 
8.0%
n 47117
 
6.5%
d 34310
 
4.7%
r 32211
 
4.4%
o 29378
 
4.0%
m 28511
 
3.9%
Other values (43) 209578
28.7%

vote_count
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1820
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.65378
Minimum0
Maximum14075
Zeros2614
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:24.672482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q335
95-th percentile444
Maximum14075
Range14075
Interquartile range (IQR)32

Descriptive statistics

Standard deviation495.32231
Coefficient of variation (CV)4.4362342
Kurtosis148.68893
Mean111.65378
Median Absolute Deviation (MAD)8
Skewness10.363365
Sum4989919
Variance245344.19
MonotonicityNot monotonic
2023-08-16T17:31:24.970774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3186
 
7.1%
2 3056
 
6.8%
3 2729
 
6.1%
0 2614
 
5.8%
4 2442
 
5.5%
5 2066
 
4.6%
6 1724
 
3.9%
7 1553
 
3.5%
8 1333
 
3.0%
9 1179
 
2.6%
Other values (1810) 22809
51.0%
ValueCountFrequency (%)
0 2614
5.8%
1 3186
7.1%
2 3056
6.8%
3 2729
6.1%
4 2442
5.5%
5 2066
4.6%
6 1724
3.9%
7 1553
3.5%
8 1333
3.0%
9 1179
 
2.6%
ValueCountFrequency (%)
14075 1
< 0.1%
12269 1
< 0.1%
12114 1
< 0.1%
12000 1
< 0.1%
11444 1
< 0.1%
11187 1
< 0.1%
10297 1
< 0.1%
10014 1
< 0.1%
9678 1
< 0.1%
9634 1
< 0.1%

vote_average
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)0.2%
Missing2614
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean6.0033415
Minimum0
Maximum10
Zeros88
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:25.119030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.8
Q15.3
median6.1
Q36.8
95-th percentile7.8
Maximum10
Range10
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.2810604
Coefficient of variation (CV)0.21339123
Kurtosis1.8086052
Mean6.0033415
Median Absolute Deviation (MAD)0.8
Skewness-0.65877168
Sum252602.6
Variance1.6411158
MonotonicityNot monotonic
2023-08-16T17:31:25.260368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2421
 
5.4%
5 1969
 
4.4%
7 1859
 
4.2%
6.5 1705
 
3.8%
6.3 1583
 
3.5%
5.5 1369
 
3.1%
5.8 1358
 
3.0%
6.4 1343
 
3.0%
6.7 1328
 
3.0%
6.8 1316
 
2.9%
Other values (82) 25826
57.8%
(Missing) 2614
 
5.8%
ValueCountFrequency (%)
0 88
0.2%
0.5 12
 
< 0.1%
0.7 1
 
< 0.1%
1 100
0.2%
1.1 1
 
< 0.1%
1.2 4
 
< 0.1%
1.3 12
 
< 0.1%
1.4 5
 
< 0.1%
1.5 29
 
0.1%
1.6 6
 
< 0.1%
ValueCountFrequency (%)
10 184
0.4%
9.8 1
 
< 0.1%
9.6 1
 
< 0.1%
9.5 18
 
< 0.1%
9.4 3
 
< 0.1%
9.3 16
 
< 0.1%
9.2 4
 
< 0.1%
9.1 3
 
< 0.1%
9 155
0.3%
8.9 7
 
< 0.1%

popularity
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct43204
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9574601
Minimum0
Maximum547.4883
Zeros35
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:25.395078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.027741
Q10.4020375
median1.150055
Q33.768882
95-th percentile11.103565
Maximum547.4883
Range547.4883
Interquartile range (IQR)3.3668445

Descriptive statistics

Standard deviation6.0400084
Coefficient of variation (CV)2.0422958
Kurtosis1913.4659
Mean2.9574601
Median Absolute Deviation (MAD)0.978899
Skewness29.185929
Sum132171.85
Variance36.481701
MonotonicityNot monotonic
2023-08-16T17:31:25.524409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10-655
 
0.1%
0.000308 42
 
0.1%
0.00022 39
 
0.1%
0.000844 37
 
0.1%
0.000578 37
 
0.1%
0 35
 
0.1%
0.002001 28
 
0.1%
0.001177 23
 
0.1%
0.003013 21
 
< 0.1%
0.001393 19
 
< 0.1%
Other values (43194) 44355
99.2%
ValueCountFrequency (%)
0 35
0.1%
1 × 10-655
0.1%
2 × 10-65
 
< 0.1%
3 × 10-66
 
< 0.1%
4 × 10-65
 
< 0.1%
5 × 10-61
 
< 0.1%
6 × 10-62
 
< 0.1%
7 × 10-61
 
< 0.1%
8 × 10-66
 
< 0.1%
9 × 10-62
 
< 0.1%
ValueCountFrequency (%)
547.488298 1
< 0.1%
294.337037 1
< 0.1%
287.253654 1
< 0.1%
228.032744 1
< 0.1%
213.849907 1
< 0.1%
187.860492 1
< 0.1%
185.330992 1
< 0.1%
185.070892 1
< 0.1%
183.870374 1
< 0.1%
154.801009 1
< 0.1%

runtime
Real number (ℝ)

MISSING 

Distinct352
Distinct (%)0.8%
Missing1512
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean97.56685
Minimum1
Maximum1256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:25.662240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57
Q186
median95
Q3107
95-th percentile139
Maximum1256
Range1255
Interquartile range (IQR)21

Descriptive statistics

Standard deviation34.653409
Coefficient of variation (CV)0.35517606
Kurtosis144.12762
Mean97.56685
Median Absolute Deviation (MAD)10
Skewness6.7835446
Sum4212839
Variance1200.8588
MonotonicityNot monotonic
2023-08-16T17:31:25.808020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 2527
 
5.7%
100 1457
 
3.3%
95 1395
 
3.1%
93 1200
 
2.7%
96 1098
 
2.5%
92 1066
 
2.4%
94 1049
 
2.3%
91 1048
 
2.3%
88 1023
 
2.3%
97 1022
 
2.3%
Other values (342) 30294
67.8%
(Missing) 1512
 
3.4%
ValueCountFrequency (%)
1 101
0.2%
2 33
 
0.1%
3 46
0.1%
4 50
0.1%
5 49
0.1%
6 70
0.2%
7 101
0.2%
8 75
0.2%
9 63
0.1%
10 61
0.1%
ValueCountFrequency (%)
1256 1
< 0.1%
1140 2
< 0.1%
931 1
< 0.1%
925 1
< 0.1%
900 1
< 0.1%
877 1
< 0.1%
874 1
< 0.1%
840 2
< 0.1%
780 1
< 0.1%
720 1
< 0.1%

overview
Text

MISSING 

Distinct43715
Distinct (%)99.9%
Missing951
Missing (%)2.1%
Memory size349.3 KiB
2023-08-16T17:31:26.204261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1000
Median length786
Mean length324.25601
Min length1

Characters and Unicode

Total characters14182958
Distinct characters429
Distinct categories25 ?
Distinct scripts13 ?
Distinct blocks21 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43691 ?
Unique (%)99.9%

Sample

1st rowLed by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
2nd rowWhen siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
3rd rowA family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
4th rowCheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
5th rowJust when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.
ValueCountFrequency (%)
the 136375
 
5.6%
a 97775
 
4.0%
and 74249
 
3.1%
to 72456
 
3.0%
of 68692
 
2.8%
in 47534
 
2.0%
is 36066
 
1.5%
his 35723
 
1.5%
with 23600
 
1.0%
her 21262
 
0.9%
Other values (96290) 1803948
74.6%
2023-08-16T17:31:26.754167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2375979
16.8%
e 1346286
 
9.5%
a 928804
 
6.5%
t 923078
 
6.5%
i 840701
 
5.9%
o 819089
 
5.8%
n 812290
 
5.7%
s 758318
 
5.3%
r 734858
 
5.2%
h 593349
 
4.2%
Other values (419) 4050206
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11008551
77.6%
Space Separator 2376016
 
16.8%
Uppercase Letter 385686
 
2.7%
Other Punctuation 308721
 
2.2%
Decimal Number 41545
 
0.3%
Dash Punctuation 36323
 
0.3%
Close Punctuation 9965
 
0.1%
Open Punctuation 9942
 
0.1%
Final Punctuation 4484
 
< 0.1%
Initial Punctuation 874
 
< 0.1%
Other values (15) 851
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1346286
12.2%
a 928804
 
8.4%
t 923078
 
8.4%
i 840701
 
7.6%
o 819089
 
7.4%
n 812290
 
7.4%
s 758318
 
6.9%
r 734858
 
6.7%
h 593349
 
5.4%
l 472816
 
4.3%
Other values (142) 2778962
25.2%
Uppercase Letter
ValueCountFrequency (%)
A 42244
 
11.0%
T 35511
 
9.2%
S 30743
 
8.0%
M 23641
 
6.1%
B 23390
 
6.1%
C 22479
 
5.8%
H 19149
 
5.0%
W 18417
 
4.8%
I 16571
 
4.3%
D 16075
 
4.2%
Other values (77) 137466
35.6%
Other Letter
ValueCountFrequency (%)
6
 
4.8%
6
 
4.8%
5
 
4.0%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
م 2
 
1.6%
2
 
1.6%
Other values (76) 88
70.4%
Other Punctuation
ValueCountFrequency (%)
, 131776
42.7%
. 123087
39.9%
' 30722
 
10.0%
" 11502
 
3.7%
: 3242
 
1.1%
? 2719
 
0.9%
; 2457
 
0.8%
! 1531
 
0.5%
/ 753
 
0.2%
& 444
 
0.1%
Other values (12) 488
 
0.2%
Nonspacing Mark
ValueCountFrequency (%)
́ 4
12.1%
ి 4
12.1%
3
9.1%
3
9.1%
3
9.1%
̈ 3
9.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
Other values (4) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 9584
23.1%
0 8154
19.6%
9 6300
15.2%
2 4186
10.1%
5 2396
 
5.8%
8 2333
 
5.6%
3 2293
 
5.5%
4 2149
 
5.2%
7 2101
 
5.1%
6 2049
 
4.9%
Spacing Mark
ValueCountFrequency (%)
11
40.7%
4
 
14.8%
3
 
11.1%
3
 
11.1%
ि 2
 
7.4%
2
 
7.4%
1
 
3.7%
ி 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 34817
95.9%
875
 
2.4%
622
 
1.7%
5
 
< 0.1%
4
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
® 45
70.3%
14
 
21.9%
¦ 2
 
3.1%
° 2
 
3.1%
1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 18
48.6%
+ 10
27.0%
= 6
 
16.2%
| 2
 
5.4%
1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 9889
99.5%
[ 50
 
0.5%
{ 2
 
< 0.1%
1
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$ 315
96.3%
£ 10
 
3.1%
1
 
0.3%
1
 
0.3%
Space Separator
ValueCountFrequency (%)
2375979
> 99.9%
  35
 
< 0.1%
  2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9913
99.5%
] 50
 
0.5%
} 2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
3783
84.4%
682
 
15.2%
» 19
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
664
76.0%
192
 
22.0%
« 18
 
2.1%
Control
ValueCountFrequency (%)
106
96.4%
’ 3
 
2.7%
 1
 
0.9%
Modifier Symbol
ValueCountFrequency (%)
´ 24
70.6%
` 9
 
26.5%
¯ 1
 
2.9%
Format
ValueCountFrequency (%)
31
62.0%
­ 19
38.0%
Other Number
ValueCountFrequency (%)
¹ 8
50.0%
½ 8
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Line Separator
ValueCountFrequency (%)
3
100.0%
Modifier Letter
ValueCountFrequency (%)
ʼ 2
100.0%
Paragraph Separator
ValueCountFrequency (%)
2
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11389005
80.3%
Common 2788534
 
19.7%
Cyrillic 4587
 
< 0.1%
Greek 648
 
< 0.1%
Devanagari 77
 
< 0.1%
Telugu 30
 
< 0.1%
Hiragana 20
 
< 0.1%
Tamil 19
 
< 0.1%
Han 10
 
< 0.1%
Hangul 9
 
< 0.1%
Other values (3) 19
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1346286
11.8%
a 928804
 
8.2%
t 923078
 
8.1%
i 840701
 
7.4%
o 819089
 
7.2%
n 812290
 
7.1%
s 758318
 
6.7%
r 734858
 
6.5%
h 593349
 
5.2%
l 472816
 
4.2%
Other values (132) 3159416
27.7%
Common
ValueCountFrequency (%)
2375979
85.2%
, 131776
 
4.7%
. 123087
 
4.4%
- 34817
 
1.2%
' 30722
 
1.1%
" 11502
 
0.4%
) 9913
 
0.4%
( 9889
 
0.4%
1 9584
 
0.3%
0 8154
 
0.3%
Other values (71) 43111
 
1.5%
Cyrillic
ValueCountFrequency (%)
о 470
 
10.2%
е 404
 
8.8%
а 373
 
8.1%
н 323
 
7.0%
и 299
 
6.5%
т 265
 
5.8%
р 240
 
5.2%
с 218
 
4.8%
в 173
 
3.8%
л 161
 
3.5%
Other values (46) 1661
36.2%
Greek
ValueCountFrequency (%)
α 60
 
9.3%
ο 55
 
8.5%
τ 43
 
6.6%
η 36
 
5.6%
ι 36
 
5.6%
ν 34
 
5.2%
ρ 31
 
4.8%
ε 31
 
4.8%
π 30
 
4.6%
ς 30
 
4.6%
Other values (33) 262
40.4%
Devanagari
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
6
 
7.8%
5
 
6.5%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (21) 30
39.0%
Hiragana
ValueCountFrequency (%)
4
20.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (7) 7
35.0%
Telugu
ValueCountFrequency (%)
ి 4
13.3%
3
10.0%
3
10.0%
3
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
Other values (6) 6
20.0%
Tamil
ValueCountFrequency (%)
3
15.8%
2
10.5%
2
10.5%
2
10.5%
2
10.5%
ி 1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (3) 3
15.8%
Han
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Hangul
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Thai
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
م 2
50.0%
ہ 1
25.0%
ت 1
25.0%
Inherited
ValueCountFrequency (%)
́ 4
57.1%
̈ 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14165135
99.9%
Punctuation 7167
 
0.1%
None 5858
 
< 0.1%
Cyrillic 4587
 
< 0.1%
Devanagari 77
 
< 0.1%
Telugu 30
 
< 0.1%
Hiragana 20
 
< 0.1%
Tamil 19
 
< 0.1%
Letterlike Symbols 14
 
< 0.1%
CJK 10
 
< 0.1%
Other values (11) 41
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2375979
16.8%
e 1346286
 
9.5%
a 928804
 
6.6%
t 923078
 
6.5%
i 840701
 
5.9%
o 819089
 
5.8%
n 812290
 
5.7%
s 758318
 
5.4%
r 734858
 
5.2%
h 593349
 
4.2%
Other values (82) 4032383
28.5%
Punctuation
ValueCountFrequency (%)
3783
52.8%
875
 
12.2%
682
 
9.5%
664
 
9.3%
622
 
8.7%
301
 
4.2%
192
 
2.7%
31
 
0.4%
5
 
0.1%
4
 
0.1%
Other values (4) 8
 
0.1%
None
ValueCountFrequency (%)
é 1532
26.2%
á 292
 
5.0%
ä 290
 
5.0%
ö 250
 
4.3%
í 241
 
4.1%
è 200
 
3.4%
ü 177
 
3.0%
ı 165
 
2.8%
ó 162
 
2.8%
ç 155
 
2.6%
Other values (141) 2394
40.9%
Cyrillic
ValueCountFrequency (%)
о 470
 
10.2%
е 404
 
8.8%
а 373
 
8.1%
н 323
 
7.0%
и 299
 
6.5%
т 265
 
5.8%
р 240
 
5.2%
с 218
 
4.8%
в 173
 
3.8%
л 161
 
3.5%
Other values (46) 1661
36.2%
Letterlike Symbols
ValueCountFrequency (%)
14
100.0%
Devanagari
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
6
 
7.8%
5
 
6.5%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (21) 30
39.0%
Diacriticals
ValueCountFrequency (%)
́ 4
57.1%
̈ 3
42.9%
Hiragana
ValueCountFrequency (%)
4
20.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (7) 7
35.0%
Telugu
ValueCountFrequency (%)
ి 4
13.3%
3
10.0%
3
10.0%
3
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
Other values (6) 6
20.0%
Alphabetic PF
ValueCountFrequency (%)
4
100.0%
Tamil
ValueCountFrequency (%)
3
15.8%
2
10.5%
2
10.5%
2
10.5%
2
10.5%
ி 1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (3) 3
15.8%
Thai
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
م 2
50.0%
ہ 1
25.0%
ت 1
25.0%
Hangul
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Modifier Letters
ValueCountFrequency (%)
ʼ 2
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Specials
ValueCountFrequency (%)
1
100.0%

spoken_languages
Text

MISSING 

Distinct1828
Distinct (%)4.4%
Missing3597
Missing (%)8.0%
Memory size349.3 KiB
2023-08-16T17:31:27.000037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length153
Median length7
Mean length9.1225483
Min length1

Characters and Unicode

Total characters374882
Distinct characters171
Distinct categories9 ?
Distinct scripts15 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1282 ?
Unique (%)3.1%

Sample

1st rowEnglish
2nd rowEnglish|Français
3rd rowEnglish
4th rowEnglish
5th rowEnglish
ValueCountFrequency (%)
english 22269
52.4%
français 1838
 
4.3%
日本語 1279
 
3.0%
italiano 1199
 
2.8%
español 902
 
2.1%
pусский 803
 
1.9%
deutsch 755
 
1.8%
english|français 685
 
1.6%
english|español 573
 
1.3%
हिन्दी 479
 
1.1%
Other values (1717) 11711
27.6%
2023-08-16T17:31:27.430227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 41914
11.2%
n 37141
 
9.9%
i 36795
 
9.8%
l 34336
 
9.2%
h 31208
 
8.3%
E 30949
 
8.3%
g 30165
 
8.0%
a 18754
 
5.0%
| 11585
 
3.1%
o 6976
 
1.9%
Other values (161) 95059
25.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 289484
77.2%
Uppercase Letter 46025
 
12.3%
Other Letter 21962
 
5.9%
Math Symbol 11585
 
3.1%
Spacing Mark 1816
 
0.5%
Nonspacing Mark 1529
 
0.4%
Space Separator 1399
 
0.4%
Other Punctuation 1056
 
0.3%
Control 26
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 41914
14.5%
n 37141
12.8%
i 36795
12.7%
l 34336
11.9%
h 31208
10.8%
g 30165
10.4%
a 18754
6.5%
o 6976
 
2.4%
r 6063
 
2.1%
t 5923
 
2.0%
Other values (63) 40209
13.9%
Other Letter
ValueCountFrequency (%)
1745
 
7.9%
1745
 
7.9%
1745
 
7.9%
1250
 
5.7%
936
 
4.3%
782
 
3.6%
782
 
3.6%
696
 
3.2%
696
 
3.2%
696
 
3.2%
Other values (46) 10889
49.6%
Uppercase Letter
ValueCountFrequency (%)
E 30949
67.2%
F 4161
 
9.0%
D 2902
 
6.3%
P 2655
 
5.8%
I 2337
 
5.1%
N 814
 
1.8%
L 500
 
1.1%
M 354
 
0.8%
T 301
 
0.7%
Č 282
 
0.6%
Other values (13) 770
 
1.7%
Spacing Mark
ValueCountFrequency (%)
ि 696
38.3%
696
38.3%
136
 
7.5%
ி 111
 
6.1%
94
 
5.2%
47
 
2.6%
18
 
1.0%
18
 
1.0%
Nonspacing Mark
ValueCountFrequency (%)
696
45.5%
ִ 424
27.7%
ְ 212
 
13.9%
111
 
7.3%
68
 
4.4%
18
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 1006
95.3%
? 50
 
4.7%
Math Symbol
ValueCountFrequency (%)
| 11585
100.0%
Space Separator
ValueCountFrequency (%)
1399
100.0%
Control
ValueCountFrequency (%)
š 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 323207
86.2%
Common 14066
 
3.8%
Han 10389
 
2.8%
Cyrillic 10382
 
2.8%
Devanagari 4176
 
1.1%
Arabic 3294
 
0.9%
Hangul 3228
 
0.9%
Greek 1696
 
0.5%
Hebrew 1696
 
0.5%
Thai 1218
 
0.3%
Other values (5) 1530
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 41914
13.0%
n 37141
11.5%
i 36795
11.4%
l 34336
10.6%
h 31208
9.7%
E 30949
9.6%
g 30165
9.3%
a 18754
 
5.8%
o 6976
 
2.2%
r 6063
 
1.9%
Other values (50) 48906
15.1%
Cyrillic
ValueCountFrequency (%)
с 3187
30.7%
к 1722
16.6%
и 1667
16.1%
й 1603
15.4%
у 1552
14.9%
а 113
 
1.1%
р 87
 
0.8%
н 53
 
0.5%
ї 53
 
0.5%
ь 53
 
0.5%
Other values (12) 292
 
2.8%
Arabic
ValueCountFrequency (%)
ر 528
16.0%
ا 528
16.0%
ع 338
10.3%
ب 338
10.3%
ي 338
10.3%
ة 338
10.3%
ل 338
10.3%
س 136
 
4.1%
ف 136
 
4.1%
ی 136
 
4.1%
Other values (5) 140
 
4.3%
Han
ValueCountFrequency (%)
1745
16.8%
1745
16.8%
1745
16.8%
1250
12.0%
936
9.0%
782
7.5%
782
7.5%
468
 
4.5%
468
 
4.5%
广 468
 
4.5%
Greek
ValueCountFrequency (%)
λ 424
25.0%
ά 212
12.5%
κ 212
12.5%
ι 212
12.5%
ν 212
12.5%
ε 212
12.5%
η 212
12.5%
Hebrew
ValueCountFrequency (%)
ִ 424
25.0%
ת 212
12.5%
י 212
12.5%
ר 212
12.5%
ְ 212
12.5%
ב 212
12.5%
ע 212
12.5%
Georgian
ValueCountFrequency (%)
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
Devanagari
ValueCountFrequency (%)
696
16.7%
696
16.7%
ि 696
16.7%
696
16.7%
696
16.7%
696
16.7%
Hangul
ValueCountFrequency (%)
538
16.7%
538
16.7%
538
16.7%
538
16.7%
538
16.7%
538
16.7%
Thai
ValueCountFrequency (%)
348
28.6%
174
14.3%
174
14.3%
174
14.3%
174
14.3%
174
14.3%
Gurmukhi
ValueCountFrequency (%)
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
Common
ValueCountFrequency (%)
| 11585
82.4%
1399
 
9.9%
/ 1006
 
7.2%
? 50
 
0.4%
š 26
 
0.2%
Telugu
ValueCountFrequency (%)
136
33.3%
68
16.7%
68
16.7%
68
16.7%
68
16.7%
Tamil
ValueCountFrequency (%)
ி 111
20.0%
111
20.0%
111
20.0%
111
20.0%
111
20.0%
Bengali
ValueCountFrequency (%)
94
40.0%
47
20.0%
47
20.0%
47
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 328498
87.6%
CJK 10389
 
2.8%
Cyrillic 10382
 
2.8%
None 10345
 
2.8%
Devanagari 4176
 
1.1%
Arabic 3294
 
0.9%
Hangul 3228
 
0.9%
Hebrew 1696
 
0.5%
Thai 1218
 
0.3%
Tamil 555
 
0.1%
Other values (6) 1101
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 41914
12.8%
n 37141
11.3%
i 36795
11.2%
l 34336
10.5%
h 31208
9.5%
E 30949
9.4%
g 30165
9.2%
a 18754
 
5.7%
| 11585
 
3.5%
o 6976
 
2.1%
Other values (38) 48675
14.8%
None
ValueCountFrequency (%)
ç 4399
42.5%
ñ 2393
23.1%
ê 589
 
5.7%
λ 424
 
4.1%
Č 282
 
2.7%
ý 282
 
2.7%
ü 240
 
2.3%
ά 212
 
2.0%
κ 212
 
2.0%
ι 212
 
2.0%
Other values (11) 1100
 
10.6%
Cyrillic
ValueCountFrequency (%)
с 3187
30.7%
к 1722
16.6%
и 1667
16.1%
й 1603
15.4%
у 1552
14.9%
а 113
 
1.1%
р 87
 
0.8%
н 53
 
0.5%
ї 53
 
0.5%
ь 53
 
0.5%
Other values (12) 292
 
2.8%
CJK
ValueCountFrequency (%)
1745
16.8%
1745
16.8%
1745
16.8%
1250
12.0%
936
9.0%
782
7.5%
782
7.5%
468
 
4.5%
468
 
4.5%
广 468
 
4.5%
Devanagari
ValueCountFrequency (%)
696
16.7%
696
16.7%
ि 696
16.7%
696
16.7%
696
16.7%
696
16.7%
Hangul
ValueCountFrequency (%)
538
16.7%
538
16.7%
538
16.7%
538
16.7%
538
16.7%
538
16.7%
Arabic
ValueCountFrequency (%)
ر 528
16.0%
ا 528
16.0%
ع 338
10.3%
ب 338
10.3%
ي 338
10.3%
ة 338
10.3%
ل 338
10.3%
س 136
 
4.1%
ف 136
 
4.1%
ی 136
 
4.1%
Other values (5) 140
 
4.3%
Hebrew
ValueCountFrequency (%)
ִ 424
25.0%
ת 212
12.5%
י 212
12.5%
ר 212
12.5%
ְ 212
12.5%
ב 212
12.5%
ע 212
12.5%
Thai
ValueCountFrequency (%)
348
28.6%
174
14.3%
174
14.3%
174
14.3%
174
14.3%
174
14.3%
Telugu
ValueCountFrequency (%)
136
33.3%
68
16.7%
68
16.7%
68
16.7%
68
16.7%
Tamil
ValueCountFrequency (%)
ி 111
20.0%
111
20.0%
111
20.0%
111
20.0%
111
20.0%
Bengali
ValueCountFrequency (%)
94
40.0%
47
20.0%
47
20.0%
47
20.0%
Latin Ext Additional
ValueCountFrequency (%)
ế 61
50.0%
61
50.0%
Georgian
ValueCountFrequency (%)
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
32
14.3%
Gurmukhi
ValueCountFrequency (%)
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
IPA Ext
ValueCountFrequency (%)
ə 4
100.0%
Distinct44456
Distinct (%)> 99.9%
Missing224
Missing (%)0.5%
Memory size349.3 KiB
2023-08-16T17:31:27.669556image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length97
Median length97
Mean length96.973441
Min length95

Characters and Unicode

Total characters4312118
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44446 ?
Unique (%)> 99.9%

Sample

1st row<img src='http://image.tmdb.org/t/p/w185//uXDfjJbdP4ijW5hWSBrPrlKpxab.jpg' style='height:100px;'>
2nd row<img src='http://image.tmdb.org/t/p/w185//vgpXmVaVyUL7GGiDeiK1mKEKzcX.jpg' style='height:100px;'>
3rd row<img src='http://image.tmdb.org/t/p/w185//1FSXpj5e8l4KH6nVFO5SPUeraOt.jpg' style='height:100px;'>
4th row<img src='http://image.tmdb.org/t/p/w185//4wjGMwPsdlvi025ZqR4rXnFDvBz.jpg' style='height:100px;'>
5th row<img src='http://image.tmdb.org/t/p/w185//lf9RTErt8BSLQy98aSFblElvsCQ.jpg' style='height:100px;'>
ValueCountFrequency (%)
img 44467
33.3%
style='height:100px 44467
33.3%
src='http://image.tmdb.org/t/p/w185//qw1oqlohizrhxzqrpkimyr0oxzn.jpg 3
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//1zifgoozunf1bcr5j4tay7rclbm.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//1jhx6pxigl8icllddfjer3cbfl6.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//9rgyo0ybm0hoezjondgi1jpio8u.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//9j2wtoyjql5akvcwoip8tjpxqx8.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//8qtkev8ob81bsrcxoyqlwzehbqv.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//cylp3npdxg1lt7esebevp6k57th.jpg 2
 
< 0.1%
src='http://image.tmdb.org/t/p/w185//e7cui63ppioooca8zsnvsomiuui.jpg 2
 
< 0.1%
Other values (44448) 44450
33.3%
2023-08-16T17:31:28.042542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 311269
 
7.2%
t 286578
 
6.6%
g 242327
 
5.6%
p 197788
 
4.6%
' 177868
 
4.1%
i 153578
 
3.6%
h 153442
 
3.6%
m 153332
 
3.6%
e 153231
 
3.6%
. 133401
 
3.1%
Other values (61) 2349304
54.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2340819
54.3%
Other Punctuation 755939
 
17.5%
Uppercase Letter 484609
 
11.2%
Decimal Number 463949
 
10.8%
Math Symbol 177868
 
4.1%
Space Separator 88934
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 286578
 
12.2%
g 242327
 
10.4%
p 197788
 
8.4%
i 153578
 
6.6%
h 153442
 
6.6%
m 153332
 
6.6%
e 153231
 
6.5%
r 109126
 
4.7%
s 108856
 
4.7%
b 64540
 
2.8%
Other values (16) 718021
30.7%
Uppercase Letter
ValueCountFrequency (%)
A 19037
 
3.9%
T 18863
 
3.9%
D 18857
 
3.9%
E 18849
 
3.9%
Z 18810
 
3.9%
M 18766
 
3.9%
S 18750
 
3.9%
K 18720
 
3.9%
B 18690
 
3.9%
Q 18678
 
3.9%
Other values (16) 296589
61.2%
Decimal Number
ValueCountFrequency (%)
1 108694
23.4%
0 107370
23.1%
8 64506
13.9%
5 64241
13.8%
3 20091
 
4.3%
4 19967
 
4.3%
2 19846
 
4.3%
9 19784
 
4.3%
7 19778
 
4.3%
6 19672
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 311269
41.2%
' 177868
23.5%
. 133401
17.6%
: 88934
 
11.8%
; 44467
 
5.9%
Math Symbol
ValueCountFrequency (%)
= 88934
50.0%
> 44467
25.0%
< 44467
25.0%
Space Separator
ValueCountFrequency (%)
88934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2825428
65.5%
Common 1486690
34.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 286578
 
10.1%
g 242327
 
8.6%
p 197788
 
7.0%
i 153578
 
5.4%
h 153442
 
5.4%
m 153332
 
5.4%
e 153231
 
5.4%
r 109126
 
3.9%
s 108856
 
3.9%
b 64540
 
2.3%
Other values (42) 1202630
42.6%
Common
ValueCountFrequency (%)
/ 311269
20.9%
' 177868
12.0%
. 133401
9.0%
1 108694
 
7.3%
0 107370
 
7.2%
: 88934
 
6.0%
88934
 
6.0%
= 88934
 
6.0%
8 64506
 
4.3%
5 64241
 
4.3%
Other values (9) 252539
17.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4312118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 311269
 
7.2%
t 286578
 
6.6%
g 242327
 
5.6%
p 197788
 
4.6%
' 177868
 
4.1%
i 153578
 
3.6%
h 153442
 
3.6%
m 153332
 
3.6%
e 153231
 
3.6%
. 133401
 
3.1%
Other values (61) 2349304
54.5%

cast
Text

MISSING 

Distinct42166
Distinct (%)99.2%
Missing2189
Missing (%)4.9%
Memory size349.3 KiB
2023-08-16T17:31:28.844841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4239
Median length1271
Mean length186.7311
Min length4

Characters and Unicode

Total characters7936445
Distinct characters396
Distinct categories17 ?
Distinct scripts9 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42004 ?
Unique (%)98.8%

Sample

1st rowTom Hanks|Tim Allen|Don Rickles|Jim Varney|Wallace Shawn|John Ratzenberger|Annie Potts|John Morris|Erik von Detten|Laurie Metcalf|R. Lee Ermey|Sarah Freeman|Penn Jillette
2nd rowRobin Williams|Jonathan Hyde|Kirsten Dunst|Bradley Pierce|Bonnie Hunt|Bebe Neuwirth|David Alan Grier|Patricia Clarkson|Adam Hann-Byrd|Laura Bell Bundy|James Handy|Gillian Barber|Brandon Obray|Cyrus Thiedeke|Gary Joseph Thorup|Leonard Zola|Lloyd Berry|Malcolm Stewart|Annabel Kershaw|Darryl Henriques|Robyn Driscoll|Peter Bryant|Sarah Gilson|Florica Vlad|June Lion|Brenda Lockmuller
3rd rowWalter Matthau|Jack Lemmon|Ann-Margret|Sophia Loren|Daryl Hannah|Burgess Meredith|Kevin Pollak
4th rowWhitney Houston|Angela Bassett|Loretta Devine|Lela Rochon|Gregory Hines|Dennis Haysbert|Michael Beach|Mykelti Williamson|Lamont Johnson|Wesley Snipes
5th rowSteve Martin|Diane Keaton|Martin Short|Kimberly Williams-Paisley|George Newbern|Kieran Culkin|BD Wong|Peter Michael Goetz|Kate McGregor-Stewart|Jane Adams|Eugene Levy|Lori Alan
ValueCountFrequency (%)
de 2950
 
0.5%
van 1442
 
0.2%
j 1181
 
0.2%
michael 1039
 
0.2%
john 911
 
0.1%
lee 880
 
0.1%
c 764
 
0.1%
james 718
 
0.1%
von 668
 
0.1%
robert 592
 
0.1%
Other values (491581) 629435
98.3%
2023-08-16T17:31:29.847697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 698873
 
8.8%
e 659973
 
8.3%
598162
 
7.5%
n 519979
 
6.6%
| 515201
 
6.5%
r 493366
 
6.2%
i 479812
 
6.0%
o 420282
 
5.3%
l 363551
 
4.6%
s 253758
 
3.2%
Other values (386) 2933488
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5604808
70.6%
Uppercase Letter 1180998
 
14.9%
Space Separator 598165
 
7.5%
Math Symbol 515201
 
6.5%
Other Punctuation 22483
 
0.3%
Dash Punctuation 13984
 
0.2%
Other Letter 527
 
< 0.1%
Decimal Number 92
 
< 0.1%
Final Punctuation 83
 
< 0.1%
Initial Punctuation 23
 
< 0.1%
Other values (7) 81
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 698873
12.5%
e 659973
11.8%
n 519979
9.3%
r 493366
 
8.8%
i 479812
 
8.6%
o 420282
 
7.5%
l 363551
 
6.5%
s 253758
 
4.5%
t 251193
 
4.5%
h 196392
 
3.5%
Other values (138) 1267629
22.6%
Other Letter
ValueCountFrequency (%)
ا 31
 
5.9%
م 30
 
5.7%
ع 19
 
3.6%
ی 19
 
3.6%
د 17
 
3.2%
17
 
3.2%
ن 17
 
3.2%
ي 16
 
3.0%
ر 15
 
2.8%
12
 
2.3%
Other values (104) 334
63.4%
Uppercase Letter
ValueCountFrequency (%)
M 108473
 
9.2%
S 91545
 
7.8%
C 83369
 
7.1%
J 82748
 
7.0%
B 81740
 
6.9%
A 70179
 
5.9%
R 66859
 
5.7%
D 65386
 
5.5%
L 60694
 
5.1%
G 54207
 
4.6%
Other values (81) 415798
35.2%
Decimal Number
ValueCountFrequency (%)
5 36
39.1%
0 28
30.4%
2 8
 
8.7%
1 8
 
8.7%
9 4
 
4.3%
4 2
 
2.2%
7 2
 
2.2%
3 2
 
2.2%
8 1
 
1.1%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 15950
70.9%
' 6052
 
26.9%
, 326
 
1.4%
" 129
 
0.6%
· 8
 
< 0.1%
& 6
 
< 0.1%
: 6
 
< 0.1%
! 5
 
< 0.1%
/ 1
 
< 0.1%
Nonspacing Mark
ValueCountFrequency (%)
́ 10
58.8%
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Final Punctuation
ValueCountFrequency (%)
74
89.2%
6
 
7.2%
» 3
 
3.6%
Space Separator
ValueCountFrequency (%)
598162
> 99.9%
  3
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
20
87.0%
« 3
 
13.0%
Open Punctuation
ValueCountFrequency (%)
14
60.9%
( 9
39.1%
Format
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Math Symbol
ValueCountFrequency (%)
| 515201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13984
100.0%
Control
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6782738
85.5%
Common 1150094
 
14.5%
Cyrillic 3054
 
< 0.1%
Han 272
 
< 0.1%
Arabic 229
 
< 0.1%
Thai 27
 
< 0.1%
Greek 14
 
< 0.1%
Inherited 11
 
< 0.1%
Hangul 6
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 698873
 
10.3%
e 659973
 
9.7%
n 519979
 
7.7%
r 493366
 
7.3%
i 479812
 
7.1%
o 420282
 
6.2%
l 363551
 
5.4%
s 253758
 
3.7%
t 251193
 
3.7%
h 196392
 
2.9%
Other values (163) 2445559
36.1%
Han
ValueCountFrequency (%)
17
 
6.2%
12
 
4.4%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
8
 
2.9%
8
 
2.9%
Other values (55) 161
59.2%
Cyrillic
ValueCountFrequency (%)
а 322
 
10.5%
и 313
 
10.2%
о 231
 
7.6%
н 228
 
7.5%
р 214
 
7.0%
е 172
 
5.6%
л 154
 
5.0%
к 135
 
4.4%
т 115
 
3.8%
с 109
 
3.6%
Other values (51) 1061
34.7%
Common
ValueCountFrequency (%)
598162
52.0%
| 515201
44.8%
. 15950
 
1.4%
- 13984
 
1.2%
' 6052
 
0.5%
, 326
 
< 0.1%
" 129
 
< 0.1%
74
 
< 0.1%
5 36
 
< 0.1%
0 28
 
< 0.1%
Other values (25) 152
 
< 0.1%
Arabic
ValueCountFrequency (%)
ا 31
13.5%
م 30
13.1%
ع 19
 
8.3%
ی 19
 
8.3%
د 17
 
7.4%
ن 17
 
7.4%
ي 16
 
7.0%
ر 15
 
6.6%
پ 8
 
3.5%
ب 8
 
3.5%
Other values (18) 49
21.4%
Thai
ValueCountFrequency (%)
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (11) 11
40.7%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Greek
ValueCountFrequency (%)
ν 6
42.9%
ί 2
 
14.3%
Ζ 2
 
14.3%
α 2
 
14.3%
ο 2
 
14.3%
Inherited
ValueCountFrequency (%)
́ 10
90.9%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7894863
99.5%
None 37808
 
0.5%
Cyrillic 3054
 
< 0.1%
CJK 272
 
< 0.1%
Arabic 229
 
< 0.1%
Punctuation 120
 
< 0.1%
Latin Ext Additional 56
 
< 0.1%
Thai 27
 
< 0.1%
Diacriticals 10
 
< 0.1%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 698873
 
8.9%
e 659973
 
8.4%
598162
 
7.6%
n 519979
 
6.6%
| 515201
 
6.5%
r 493366
 
6.2%
i 479812
 
6.1%
o 420282
 
5.3%
l 363551
 
4.6%
s 253758
 
3.2%
Other values (67) 2891906
36.6%
None
ValueCountFrequency (%)
é 8979
23.7%
á 4096
 
10.8%
í 2726
 
7.2%
ô 2322
 
6.1%
ö 1990
 
5.3%
ó 1847
 
4.9%
ü 1470
 
3.9%
ć 1350
 
3.6%
è 1224
 
3.2%
ç 980
 
2.6%
Other values (111) 10824
28.6%
Cyrillic
ValueCountFrequency (%)
а 322
 
10.5%
и 313
 
10.2%
о 231
 
7.6%
н 228
 
7.5%
р 214
 
7.0%
е 172
 
5.6%
л 154
 
5.0%
к 135
 
4.4%
т 115
 
3.8%
с 109
 
3.6%
Other values (51) 1061
34.7%
Punctuation
ValueCountFrequency (%)
74
61.7%
20
 
16.7%
14
 
11.7%
6
 
5.0%
5
 
4.2%
1
 
0.8%
Arabic
ValueCountFrequency (%)
ا 31
13.5%
م 30
13.1%
ع 19
 
8.3%
ی 19
 
8.3%
د 17
 
7.4%
ن 17
 
7.4%
ي 16
 
7.0%
ر 15
 
6.6%
پ 8
 
3.5%
ب 8
 
3.5%
Other values (18) 49
21.4%
CJK
ValueCountFrequency (%)
17
 
6.2%
12
 
4.4%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
11
 
4.0%
8
 
2.9%
8
 
2.9%
Other values (55) 161
59.2%
Latin Ext Additional
ValueCountFrequency (%)
15
26.8%
9
16.1%
6
 
10.7%
6
 
10.7%
ế 5
 
8.9%
4
 
7.1%
4
 
7.1%
4
 
7.1%
2
 
3.6%
1
 
1.8%
Diacriticals
ValueCountFrequency (%)
́ 10
100.0%
Thai
ValueCountFrequency (%)
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (11) 11
40.7%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

cast_size
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct151
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.47909
Minimum0
Maximum313
Zeros2189
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:29.999436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q315
95-th percentile32
Maximum313
Range313
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.124663
Coefficient of variation (CV)0.97159836
Kurtosis38.123643
Mean12.47909
Median Absolute Deviation (MAD)5
Skewness4.2512185
Sum557703
Variance147.00746
MonotonicityNot monotonic
2023-08-16T17:31:30.138121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2770
 
6.2%
8 2729
 
6.1%
7 2710
 
6.1%
6 2649
 
5.9%
5 2637
 
5.9%
9 2557
 
5.7%
15 2444
 
5.5%
4 2406
 
5.4%
11 2283
 
5.1%
0 2189
 
4.9%
Other values (141) 19317
43.2%
ValueCountFrequency (%)
0 2189
4.9%
1 1302
2.9%
2 882
 
2.0%
3 1087
 
2.4%
4 2406
5.4%
5 2637
5.9%
6 2649
5.9%
7 2710
6.1%
8 2729
6.1%
9 2557
5.7%
ValueCountFrequency (%)
313 1
< 0.1%
224 1
< 0.1%
213 1
< 0.1%
208 2
< 0.1%
185 1
< 0.1%
183 1
< 0.1%
172 1
< 0.1%
171 1
< 0.1%
168 1
< 0.1%
167 1
< 0.1%

crew_size
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct189
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.313643
Minimum0
Maximum435
Zeros620
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size349.3 KiB
2023-08-16T17:31:30.296006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q312
95-th percentile34
Maximum435
Range435
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.892154
Coefficient of variation (CV)1.5408866
Kurtosis51.441699
Mean10.313643
Median Absolute Deviation (MAD)4
Skewness5.4756462
Sum460927
Variance252.56054
MonotonicityNot monotonic
2023-08-16T17:31:30.439710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6197
13.9%
3 4951
 
11.1%
1 4866
 
10.9%
4 3064
 
6.9%
5 2240
 
5.0%
7 1968
 
4.4%
10 1928
 
4.3%
6 1867
 
4.2%
8 1864
 
4.2%
9 1686
 
3.8%
Other values (179) 14060
31.5%
ValueCountFrequency (%)
0 620
 
1.4%
1 4866
10.9%
2 6197
13.9%
3 4951
11.1%
4 3064
6.9%
5 2240
 
5.0%
6 1867
 
4.2%
7 1968
 
4.4%
8 1864
 
4.2%
9 1686
 
3.8%
ValueCountFrequency (%)
435 1
< 0.1%
338 1
< 0.1%
316 1
< 0.1%
250 1
< 0.1%
244 1
< 0.1%
242 1
< 0.1%
228 1
< 0.1%
222 1
< 0.1%
220 1
< 0.1%
217 1
< 0.1%

director
Text

MISSING 

Distinct17349
Distinct (%)39.5%
Missing731
Missing (%)1.6%
Memory size349.3 KiB
2023-08-16T17:31:30.977973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length33
Median length29
Mean length13.461761
Min length2

Characters and Unicode

Total characters591779
Distinct characters200
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10480 ?
Unique (%)23.8%

Sample

1st rowJohn Lasseter
2nd rowJoe Johnston
3rd rowHoward Deutch
4th rowForest Whitaker
5th rowCharles Shyer
ValueCountFrequency (%)
john 1157
 
1.3%
michael 866
 
0.9%
david 800
 
0.9%
robert 798
 
0.9%
peter 516
 
0.6%
william 512
 
0.6%
richard 509
 
0.6%
james 481
 
0.5%
paul 433
 
0.5%
george 396
 
0.4%
Other values (16921) 85947
93.0%
2023-08-16T17:31:31.505257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 51610
 
8.7%
a 50915
 
8.6%
48557
 
8.2%
r 40219
 
6.8%
n 39683
 
6.7%
i 38395
 
6.5%
o 34850
 
5.9%
l 27103
 
4.6%
s 20489
 
3.5%
t 19463
 
3.3%
Other values (190) 220495
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 444837
75.2%
Uppercase Letter 94061
 
15.9%
Space Separator 48557
 
8.2%
Other Punctuation 3062
 
0.5%
Dash Punctuation 1219
 
0.2%
Other Letter 21
 
< 0.1%
Control 12
 
< 0.1%
Decimal Number 6
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 51610
11.6%
a 50915
11.4%
r 40219
 
9.0%
n 39683
 
8.9%
i 38395
 
8.6%
o 34850
 
7.8%
l 27103
 
6.1%
s 20489
 
4.6%
t 19463
 
4.4%
h 16482
 
3.7%
Other values (97) 105628
23.7%
Uppercase Letter
ValueCountFrequency (%)
M 8209
 
8.7%
S 7825
 
8.3%
J 7100
 
7.5%
R 6105
 
6.5%
B 5907
 
6.3%
C 5883
 
6.3%
A 5627
 
6.0%
D 5043
 
5.4%
L 4885
 
5.2%
G 4507
 
4.8%
Other values (52) 32970
35.1%
Other Letter
ValueCountFrequency (%)
ی 2
 
9.5%
ا 2
 
9.5%
م 2
 
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
پ 1
 
4.8%
ن 1
 
4.8%
ع 1
 
4.8%
1
 
4.8%
Other values (8) 8
38.1%
Other Punctuation
ValueCountFrequency (%)
. 2846
92.9%
' 201
 
6.6%
, 14
 
0.5%
· 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
3 1
 
16.7%
5 1
 
16.7%
9 1
 
16.7%
Space Separator
ValueCountFrequency (%)
48557
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1219
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 538754
91.0%
Common 52860
 
8.9%
Cyrillic 144
 
< 0.1%
Arabic 10
 
< 0.1%
Han 8
 
< 0.1%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 51610
 
9.6%
a 50915
 
9.5%
r 40219
 
7.5%
n 39683
 
7.4%
i 38395
 
7.1%
o 34850
 
6.5%
l 27103
 
5.0%
s 20489
 
3.8%
t 19463
 
3.6%
h 16482
 
3.1%
Other values (123) 199545
37.0%
Cyrillic
ValueCountFrequency (%)
и 19
13.2%
о 11
 
7.6%
л 11
 
7.6%
е 11
 
7.6%
а 10
 
6.9%
р 10
 
6.9%
к 8
 
5.6%
н 7
 
4.9%
д 6
 
4.2%
в 6
 
4.2%
Other values (26) 45
31.2%
Common
ValueCountFrequency (%)
48557
91.9%
. 2846
 
5.4%
- 1219
 
2.3%
' 201
 
0.4%
, 14
 
< 0.1%
12
 
< 0.1%
0 3
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
3 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
Han
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
ی 2
20.0%
ا 2
20.0%
م 2
20.0%
پ 1
10.0%
ن 1
10.0%
ع 1
10.0%
د 1
10.0%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 587796
99.3%
None 3815
 
0.6%
Cyrillic 144
 
< 0.1%
Arabic 10
 
< 0.1%
CJK 8
 
< 0.1%
Hangul 3
 
< 0.1%
Latin Ext Additional 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 51610
 
8.8%
a 50915
 
8.7%
48557
 
8.3%
r 40219
 
6.8%
n 39683
 
6.8%
i 38395
 
6.5%
o 34850
 
5.9%
l 27103
 
4.6%
s 20489
 
3.5%
t 19463
 
3.3%
Other values (54) 216512
36.8%
None
ValueCountFrequency (%)
é 903
23.7%
á 371
 
9.7%
ö 252
 
6.6%
í 224
 
5.9%
ó 224
 
5.9%
ô 153
 
4.0%
ä 143
 
3.7%
è 131
 
3.4%
ç 106
 
2.8%
ü 106
 
2.8%
Other values (69) 1202
31.5%
Cyrillic
ValueCountFrequency (%)
и 19
13.2%
о 11
 
7.6%
л 11
 
7.6%
е 11
 
7.6%
а 10
 
6.9%
р 10
 
6.9%
к 8
 
5.6%
н 7
 
4.9%
д 6
 
4.2%
в 6
 
4.2%
Other values (26) 45
31.2%
Arabic
ValueCountFrequency (%)
ی 2
20.0%
ا 2
20.0%
م 2
20.0%
پ 1
10.0%
ن 1
10.0%
ع 1
10.0%
د 1
10.0%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Latin Ext Additional
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
CJK
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Interactions

2023-08-16T17:31:15.382093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:05.996658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.164972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.266966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.442630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.563113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.632344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.081134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.220284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.496489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.110375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.281124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.385274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.564654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.675399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.744667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.241525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.348193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.613531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.234264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.407742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.521634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.693203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.796246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.872555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.379450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.469321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.720640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.349818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.532147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.642612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.815859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.914030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.992476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.499862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.609030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.842584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.477819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.660376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.795633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.947637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.041292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:12.123644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.618686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.751930image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.962750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.595341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.780994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.935518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.070241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.158058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:12.243751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.727017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.868004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:16.084678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.711538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.904189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.058958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.190948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.274733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:12.387059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:13.836078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.000569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:16.201832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:06.934602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.031345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.194977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.316514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-08-16T17:31:15.134076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:16.321551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:07.055958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:08.155843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:09.315155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:10.444254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:11.516882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:12.919200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:14.080299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-16T17:31:15.268299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-08-16T17:31:31.630649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
idbudget_musdrevenue_musdvote_countvote_averagepopularityruntimecast_sizecrew_size
id1.000-0.270-0.323-0.432-0.067-0.410-0.179-0.283-0.267
budget_musd-0.2701.0000.7100.6650.0320.6140.3710.4520.473
revenue_musd-0.3230.7101.0000.7300.1120.6010.2630.4240.440
vote_count-0.4320.6650.7301.0000.1720.8930.2590.4480.490
vote_average-0.0670.0320.1120.1721.0000.1100.1590.0160.066
popularity-0.4100.6140.6010.8930.1101.0000.2770.4850.495
runtime-0.1790.3710.2630.2590.1590.2771.0000.2900.196
cast_size-0.2830.4520.4240.4480.0160.4850.2901.0000.522
crew_size-0.2670.4730.4400.4900.0660.4950.1960.5221.000

Missing values

2023-08-16T17:31:16.559129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-16T17:31:16.974953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-16T17:31:17.505785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idtitletaglinerelease_dategenresbelongs_to_collectionoriginal_languagebudget_musdrevenue_musdproduction_companiesproduction_countriesvote_countvote_averagepopularityruntimeoverviewspoken_languagesposter_pathcastcast_sizecrew_sizedirector
0862Toy StoryNaN1995-10-30Animation|Comedy|FamilyToy Story Collectionen30.00373.55Pixar Animation StudiosUnited States of America5415.007.7021.9581.00Led by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.English<img src='http://image.tmdb.org/t/p/w185//uXDfjJbdP4ijW5hWSBrPrlKpxab.jpg' style='height:100px;'>Tom Hanks|Tim Allen|Don Rickles|Jim Varney|Wallace Shawn|John Ratzenberger|Annie Potts|John Morris|Erik von Detten|Laurie Metcalf|R. Lee Ermey|Sarah Freeman|Penn Jillette13106John Lasseter
18844JumanjiRoll the dice and unleash the excitement!1995-12-15Adventure|Fantasy|FamilyNaNen65.00262.80TriStar Pictures|Teitler Film|Interscope CommunicationsUnited States of America2413.006.9017.02104.00When siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.English|Français<img src='http://image.tmdb.org/t/p/w185//vgpXmVaVyUL7GGiDeiK1mKEKzcX.jpg' style='height:100px;'>Robin Williams|Jonathan Hyde|Kirsten Dunst|Bradley Pierce|Bonnie Hunt|Bebe Neuwirth|David Alan Grier|Patricia Clarkson|Adam Hann-Byrd|Laura Bell Bundy|James Handy|Gillian Barber|Brandon Obray|Cyrus Thiedeke|Gary Joseph Thorup|Leonard Zola|Lloyd Berry|Malcolm Stewart|Annabel Kershaw|Darryl Henriques|Robyn Driscoll|Peter Bryant|Sarah Gilson|Florica Vlad|June Lion|Brenda Lockmuller2616Joe Johnston
215602Grumpier Old MenStill Yelling. Still Fighting. Still Ready for Love.1995-12-22Romance|ComedyGrumpy Old Men CollectionenNaNNaNWarner Bros.|Lancaster GateUnited States of America92.006.5011.71101.00A family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.English<img src='http://image.tmdb.org/t/p/w185//1FSXpj5e8l4KH6nVFO5SPUeraOt.jpg' style='height:100px;'>Walter Matthau|Jack Lemmon|Ann-Margret|Sophia Loren|Daryl Hannah|Burgess Meredith|Kevin Pollak74Howard Deutch
331357Waiting to ExhaleFriends are the people who let you be yourself... and never let you forget it.1995-12-22Comedy|Drama|RomanceNaNen16.0081.45Twentieth Century Fox Film CorporationUnited States of America34.006.103.86127.00Cheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.English<img src='http://image.tmdb.org/t/p/w185//4wjGMwPsdlvi025ZqR4rXnFDvBz.jpg' style='height:100px;'>Whitney Houston|Angela Bassett|Loretta Devine|Lela Rochon|Gregory Hines|Dennis Haysbert|Michael Beach|Mykelti Williamson|Lamont Johnson|Wesley Snipes1010Forest Whitaker
411862Father of the Bride Part IIJust When His World Is Back To Normal... He's In For The Surprise Of His Life!1995-02-10ComedyFather of the Bride CollectionenNaN76.58Sandollar Productions|Touchstone PicturesUnited States of America173.005.708.39106.00Just when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.English<img src='http://image.tmdb.org/t/p/w185//lf9RTErt8BSLQy98aSFblElvsCQ.jpg' style='height:100px;'>Steve Martin|Diane Keaton|Martin Short|Kimberly Williams-Paisley|George Newbern|Kieran Culkin|BD Wong|Peter Michael Goetz|Kate McGregor-Stewart|Jane Adams|Eugene Levy|Lori Alan127Charles Shyer
5949HeatA Los Angeles Crime Saga1995-12-15Action|Crime|Drama|ThrillerNaNen60.00187.44Regency Enterprises|Forward Pass|Warner Bros.United States of America1886.007.7017.92170.00Obsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.English|Español<img src='http://image.tmdb.org/t/p/w185//lbf2ueoiEfKIJr2qlT01zIEckbC.jpg' style='height:100px;'>Al Pacino|Robert De Niro|Val Kilmer|Jon Voight|Tom Sizemore|Diane Venora|Amy Brenneman|Ashley Judd|Mykelti Williamson|Natalie Portman|Ted Levine|Tom Noonan|Tone Loc|Hank Azaria|Wes Studi|Dennis Haysbert|Danny Trejo|Henry Rollins|William Fichtner|Kevin Gage|Susan Traylor|Jerry Trimble|Ricky Harris|Jeremy Piven|Xander Berkeley|Begonya Plaza|Rick Avery|Hazelle Goodman|Ray Buktenica|Max Daniels|Vince Deadrick Jr.|Steven Ford|Farrah Forke|Patricia Healy|Paul Herman|Cindy Katz|Brian Libby|Dan Martin|Mario Roberts|Thomas Rosales, Jr.|Yvonne Zima|Mick Gould|Bud Cort|Viviane Vives|Kim Staunton|Martin Ferrero|Brad Baldridge|Andrew Camuccio|Kenny Endoso|Kimberly Flynn|Niki Harris|Bill McIntosh|Rick Marzan|Terry Miller|Daniel O'Haco|Kai Soremekun|Peter Blackwell|Trevor Coppola|Mary Kircher|Darin Mangan|Robert Miranda|Manny Perry|Iva Franks Singer|Tim Werner|Philip Ettington6571Michael Mann
611860SabrinaYou are cordially invited to the most surprising merger of the year.1995-12-15Comedy|RomanceNaNen58.00NaNParamount Pictures|Scott Rudin Productions|Mirage Enterprises|Sandollar Productions|Constellation Entertainment|Worldwide|Mont Blanc Entertainment GmbHGermany|United States of America141.006.206.68127.00An ugly duckling having undergone a remarkable change, still harbors feelings for her crush: a carefree playboy, but not before his business-focused brother has something to say about it.Français|English<img src='http://image.tmdb.org/t/p/w185//z1oNjotUI7D06J4LWQFQzdIuPnf.jpg' style='height:100px;'>Harrison Ford|Julia Ormond|Greg Kinnear|Angie Dickinson|Nancy Marchand|John Wood|Richard Crenna|Lauren Holly|Dana Ivey|Fanny Ardant|Patrick Bruel|Paul Giamatti|Miriam Colón|Elizabeth Franz|Valérie Lemercier|Becky Ann Baker|John C. Vennema|Margo Martindale|J. Smith-Cameron|Christine Luneau-Lipton|Michael Dees|Denis Holmes|Jo-Jo Lowe|Ira Wheeler|Philippa Cooper|Ayako Kawahara|François Genty|Guillaume Gallienne|Inés Sastre|Phina Oruche|Andrea Behalikova|Jennifer Herrera|Kristina Kumlin|Eva Linderholm|Carmen Chaplin|Micheline Van de Velde|Joanna Rhodes|Alan Boone|Patrick Forster-Delmas|Kentaro Matsuo|Peter McKernan|Ed Connelly|Ronald L. Schwary|Alvin Lum|Siching Song|Phil Nee|Randy Becker|Susan Browning|Anthony Mondal|Peter Parks|Woodrow Asai|Eric Bruno Borgman|Michael Cline|Christopher Del Gaudio|Philippe Hartmann|Jerry Quinn|Dori Rosenthal5753Sydney Pollack
745325Tom and HuckThe Original Bad Boys.1995-12-22Action|Adventure|Drama|FamilyNaNenNaNNaNWalt Disney PicturesUnited States of America45.005.402.5697.00A mischievous young boy, Tom Sawyer, witnesses a murder by the deadly Injun Joe. Tom becomes friends with Huckleberry Finn, a boy with no future and no family. Tom has to choose between honoring a friendship or honoring an oath because the town alcoholic is accused of the murder. Tom and Huck go through several adventures trying to retrieve evidence.English|Deutsch<img src='http://image.tmdb.org/t/p/w185//6yoxUnUnWVmWkrRBPCAFARctZDF.jpg' style='height:100px;'>Jonathan Taylor Thomas|Brad Renfro|Rachael Leigh Cook|Michael McShane|Amy Wright|Eric Schweig|Tamara Mello74Peter Hewitt
89091Sudden DeathTerror goes into overtime.1995-12-22Action|Adventure|ThrillerNaNen35.0064.35Universal Pictures|Imperial Entertainment|Signature EntertainmentUnited States of America174.005.505.23106.00International action superstar Jean Claude Van Damme teams with Powers Boothe in a Tension-packed, suspense thriller, set against the back-drop of a Stanley Cup game.Van Damme portrays a father whose daughter is suddenly taken during a championship hockey game. With the captors demanding a billion dollars by game's end, Van Damme frantically sets a plan in motion to rescue his daughter and abort an impending explosion before the final buzzer...English<img src='http://image.tmdb.org/t/p/w185//gV1VTRjT0hFjUxvs6vmfjR1ueoP.jpg' style='height:100px;'>Jean-Claude Van Damme|Powers Boothe|Dorian Harewood|Raymond J. Barry|Ross Malinger|Whittni Wright69Peter Hyams
9710GoldenEyeNo limits. No fears. No substitutes.1995-11-16Adventure|Action|ThrillerJames Bond Collectionen58.00352.19United Artists|Eon ProductionsUnited Kingdom|United States of America1194.006.6014.69130.00James Bond must unmask the mysterious head of the Janus Syndicate and prevent the leader from utilizing the GoldenEye weapons system to inflict devastating revenge on Britain.English|Pусский|Español<img src='http://image.tmdb.org/t/p/w185//z0ljRnNxIO7CRBhLEO0DvLgAFPR.jpg' style='height:100px;'>Pierce Brosnan|Sean Bean|Izabella Scorupco|Famke Janssen|Joe Don Baker|Judi Dench|Gottfried John|Robbie Coltrane|Alan Cumming|Tchéky Karyo|Desmond Llewelyn|Samantha Bond|Michael Kitchen|Serena Gordon|Simon Kunz|Billy J. Mitchell|Constantine Gregory|Minnie Driver|Michelle Arthur|Ravil Isyanov2046Martin Campbell
idtitletaglinerelease_dategenresbelongs_to_collectionoriginal_languagebudget_musdrevenue_musdproduction_companiesproduction_countriesvote_countvote_averagepopularityruntimeoverviewspoken_languagesposter_pathcastcast_sizecrew_sizedirector
4468184419House of HorrorsMeet...The CREEPER!1946-03-29Horror|Mystery|ThrillerNaNenNaNNaNUniversal PicturesUnited States of America8.006.300.2265.00An unsuccessful sculptor saves a madman named "The Creeper" from drowning. Seeing an opportunity for revenge, he tricks the psycho into murdering his critics.English<img src='http://image.tmdb.org/t/p/w185//hWMyLdBbRo764aee40A6Zjg8O0u.jpg' style='height:100px;'>Rondo Hatton|Robert Lowery|Virginia Grey|Bill Goodwin|Martin Kosleck|Alan Napier|Howard Freeman|Virginia Christine|Joan Shawlee|Byron Foulger|Syd Saylor1111Jean Yarbrough
44682390959Shadow of the Blair WitchNaN2000-10-22Mystery|HorrorNaNenNaNNaNNaNNaN2.007.000.0845.00In this true-crime documentary, we delve into the murder spree that was the inspiration for Joe Berlinger's "Book of Shadows: Blair Witch 2".English<img src='http://image.tmdb.org/t/p/w185//q75tCM4pFmUzdCg0gqcOQquCaYf.jpg' style='height:100px;'>Tony Abatemarco|Andre Brooks|Mariclare Costello|Bill Dreggors|Apollo Dukakis|Philip Friedman|James Gleason|Dilva Henry|Bari Hochwald|Wendy Hoffman|John Huck|Rachel Moskowitz|Sandy Mulvihill|Roger Nolan|Chris Parnell|Byrne Piven|Richard Sexton|Rich Williams|Ray Xifo1929Ben Rock
44683289923The Burkittsville 7Do you know what happened 50 years before "The Blair Witch Project"?2000-10-03HorrorNaNenNaNNaNNeptune Salad Entertainment|Pirie ProductionsUnited States of America1.007.000.3930.00A film archivist revisits the story of Rustin Parr, a hermit thought to have murdered seven children while under the possession of the Blair Witch.English<img src='http://image.tmdb.org/t/p/w185//lXtoHVdej6kS1Dc7KAhw05sMos9.jpg' style='height:100px;'>Monty Bane|Lucy Butler|David Grammer|Bill Dreggors|Frank Pastor|Heather Donahue|Joshua Leonard|Michael C. Williams82Ben Rock
44684222848Caged Heat 3000NaN1995-01-01Science FictionNaNenNaNNaNConcorde-New HorizonsUnited States of America1.003.500.6685.00It's the year 3000 AD. The world's most dangerous women are banished to a remote asteroid 45 million light years from earth. Kira Murphy doesn't belong; wrongfully accused of a crime she did not commit, she's thrown in this interplanetary prison and left to her own defenses. But Kira's a fighter, and soon she finds herself in the middle of a female gang war; where everyone wants a piece of the action... and a piece of her! "Caged Heat 3000" takes the Women-in-Prison genre to a whole new level... and a whole new galaxy!English<img src='http://image.tmdb.org/t/p/w185//qyiYbViulJm9RnZ5fkcKB3UN7ZE.jpg' style='height:100px;'>Lisa Boyle|Kena Land|Zaneta Polard|Don Yanan|Debra K. Beatty|Mark Sikes|Robert J. Ferrelli|Ellyn Dawn Humphreys|Ron Jeremy|Ben Ramsey106Aaron Osborne
4468530840Robin HoodNaN1991-05-13Drama|Action|RomanceNaNenNaNNaNWestdeutscher Rundfunk (WDR)|Working Title Films|20th Century Fox Television|CanWest Global CommunicationsCanada|Germany|United Kingdom|United States of America26.005.705.68104.00Yet another version of the classic epic, with enough variation to make it interesting. The story is the same, but some of the characters are quite different from the usual, in particular Uma Thurman's very special maid Marian. The photography is also great, giving the story a somewhat darker tone.English<img src='http://image.tmdb.org/t/p/w185//rmVyrko5XHRuoO37cRVMOWDm17W.jpg' style='height:100px;'>Patrick Bergin|Uma Thurman|David Morrissey|Jürgen Prochnow|Jeroen Krabbé59John Irvin
44686439050SubdueRising and falling between a man and womanNaTDrama|FamilyNaNfaNaNNaNNaNIran1.004.000.0790.00Rising and falling between a man and woman.فارسی<img src='http://image.tmdb.org/t/p/w185//pfC8gZ1BQANxxdadIMpdywbPG9X.jpg' style='height:100px;'>Leila Hatami|Kourosh Tahami|Elham Korda39Hamid Nematollah
44687111109Century of BirthingNaN2011-11-17DramaNaNtlNaNNaNSine OliviaPhilippines3.009.000.18360.00An artist struggles to finish his work while a storyline about a cult plays in his head.NaN<img src='http://image.tmdb.org/t/p/w185//xZkmxsNmYXJbKVsTRLLx3pqGHx7.jpg' style='height:100px;'>Angel Aquino|Perry Dizon|Hazel Orencio|Joel Torre|Bart Guingona|Soliman Cruz |Roeder|Angeli Bayani|Dante Perez|Betty Uy-Regala|Modesta116Lav Diaz
4468867758BetrayalA deadly game of wits.2003-08-01Action|Drama|ThrillerNaNenNaNNaNAmerican World PicturesUnited States of America6.003.800.9090.00When one of her hits goes wrong, a professional assassin ends up with a suitcase full of a million dollars belonging to a mob boss ...English<img src='http://image.tmdb.org/t/p/w185//eGgakGLQQzUwrCfTxcGu3mXPf8g.jpg' style='height:100px;'>Erika Eleniak|Adam Baldwin|Julie du Page|James Remar|Damian Chapa|Louis Mandylor|Tom Wright|Jeremy Lelliott|James Quattrochi|Jason Widener|Joe Sabatino|Kiko Ellsworth|Don Swayze|Peter Dobson|Darrell Dubovsky155Mark L. Lester
44689227506Satan TriumphantNaN1917-10-21NaNNaNenNaNNaNYermolievRussia0.00NaN0.0087.00In a small town live two brothers, one a minister and the other one a hunchback painter of the chapel who lives with his wife. One dreadful and stormy night, a stranger knocks at the door asking for shelter. The stranger talks about all the good things of the earthly life the minister is missing because of his puritanical faith. The minister comes to accept the stranger's viewpoint but it is others who will pay the consequences because the minister will discover the human pleasures thanks to, ehem, his sister- in -law… The tormented minister and his cuckolded brother will die in a strange accident in the chapel and later an infant will be born from the minister's adulterous relationship.NaN<img src='http://image.tmdb.org/t/p/w185//aorBPO7ak8e8iJKT5OcqYxU3jlK.jpg' style='height:100px;'>Iwan Mosschuchin|Nathalie Lissenko|Pavel Pavlov|Aleksandr Chabrov|Vera Orlova52Yakov Protazanov
44690461257QueeramaNaN2017-06-09NaNNaNenNaNNaNNaNUnited Kingdom0.00NaN0.1675.0050 years after decriminalisation of homosexuality in the UK, director Daisy Asquith mines the jewels of the BFI archive to take us into the relationships, desires, fears and expressions of gay men and women in the 20th century.English<img src='http://image.tmdb.org/t/p/w185//oxFEU4WOMWdXF3fdtYUJZMzc5ob.jpg' style='height:100px;'>NaN01Daisy Asquith